epoch 0
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (-0.319419035004)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.581327519602)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.313360175508)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.616656138272)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.677833861655)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.72846647232)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
0	0.505079199741	1	0
epoch 1
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.571449268791)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.700185479813)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.741081952637)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.773210125962)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.638758457913)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.115747760664)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
1	0.359235187462		0
epoch 2
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.120823174253)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0992653311345)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.487750720323)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.65112986861)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.172639343832)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.681428405666)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
2	0.212416875076	1	0
epoch 3
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.746543684902)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.776560569705)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.800217069592)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.818964536893)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.709337420135)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.772846940163)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
3	0.34502909422		0
epoch 4
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.796546990483)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.816036864769)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.763731762715)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.380677184883)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.222469643724)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.814057036071)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
4	0.382802084834	1	0
epoch 5
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.838189804192)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.850159365737)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.860494409546)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.869406946654)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.159705533079)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.791646674607)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
5	0.307604832045		0
epoch 6
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.109413269869)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.816093973204)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.83728462932)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.10654581399)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0695148690841)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.228827172027)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
6	0.141992435646	1	0
epoch 7
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.839237772376)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.857919387155)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0921397102022)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.865150907916)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.235923776898)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.175063961283)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
7	0.425537147392		0
epoch 8
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.862334049527)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.875687871965)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.882653382604)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.74533999858)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.846011450384)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0157344949543)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
8	0.378059540353	1	0
epoch 9
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.866409385648)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.875649452977)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.882663775453)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.252069066111)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.87854591749)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.890359515069)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
9	0.37174910162		0
epoch 10
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.895727110499)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.900616091384)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.905044716671)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.144029918845)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.907943382755)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.914220013936)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
10	0.315083475715	1	0
epoch 11
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.860739986276)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.225878326661)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.868825806942)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0370110807494)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.880522249264)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.888705684025)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
11	0.331258876664		0
epoch 12
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.049301208953)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.786097736825)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.872381741928)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.888814423789)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.732656064764)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.853478179443)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
12	0.136056668673	1	0
epoch 13
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.87375698153)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.880874568713)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.887307983107)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0385019122421)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0179022563313)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.891737073167)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
13	0.305221556727		0
epoch 14
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00372105192094)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.896776710036)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0152155224229)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.735432133964)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.88176609954)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.896416233706)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
14	0.422013437684	1	0
epoch 15
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.19044724925)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.893944383178)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.902610776831)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.131877549387)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.905688128042)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.912083855153)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
15	0.435647978404		0
epoch 16
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.915507829613)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.918681282836)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.745373209838)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0550292950623)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.898324558963)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.902931113353)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
16	0.376899521922	1	0
epoch 17
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.90715057091)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.91100153656)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.914531755852)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.917780697044)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00204779021951)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.920298869994)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
17	0.428912582209		0
epoch 18
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.92360199624)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.926180663794)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.928587349373)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.930836303379)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0467284902957)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.932486558984)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
18	0.552112473846	1	0
epoch 19
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.596567848918)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.673796937394)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.87403068022)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.890039515762)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.895400568487)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.554224796512)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
19	0.195944069277		0
epoch 20
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.869049115875)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00474804212437)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.869079973882)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0196898252698)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.016752519631)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.87727950248)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
20	0.370618623026	1	0
epoch 21
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.885561113491)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.891466339651)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.896775126676)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.901563023042)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.905905328736)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.325090350167)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
21	0.253970207278		0
epoch 22
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.89032031574)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.542532045042)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.854190215383)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.873615417982)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.880759423987)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.887205561245)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
22	0.4076064715	1	0
epoch 23
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.287329570301)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.872100246228)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.148572183722)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.08326063977)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0370814412435)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.673234846049)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
23	0.195843630788		0
epoch 24
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.790971248876)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.80311268153)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.821507130134)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.836348817705)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.251703473251)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0505469609287)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
24	0.288931165364	1	0
epoch 25
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.855422635706)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.867661554169)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.875618137551)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.235445450891)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0234736543487)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.031442995063)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
25	0.160036899012		0
epoch 26
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0163820294695)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.785954147387)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0162593925042)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0191835762008)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.807913692355)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.828757963981)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
26	0.291596890749	1	0
epoch 27
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0524555540245)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0378831292308)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.840856687317)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0299478619979)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.853421933133)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.865588558001)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
27	0.369687735948		0
epoch 28
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.873810024854)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.881054392709)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.887466265409)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0122678628338)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.82899195937)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.845232031763)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
28	0.120331760334	1	0
epoch 29
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.856235795855)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.865720936521)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.873956992321)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0674609350943)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0736777748691)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.873170719037)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
29	0.371163432994		0
epoch 30
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.883026411047)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.109710394616)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.810029379555)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.827206240202)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.841081141882)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0264586543035)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
30	0.107502882445	1	0
epoch 31
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.850761176328)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0339746914133)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.861537847522)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.872458676478)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.05333245224)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0361974177269)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
31	0.088161650791		0
epoch 32
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.879225550836)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.887572298368)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0396413527492)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0274880513545)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.892729192892)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.899198621633)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
32	0.375640838444	1	0
epoch 33
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.903746276984)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0416652430242)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0591664450813)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0883786436274)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.843640694951)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00068149473708)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
33	0.142911611753		0
epoch 34
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00698756030074)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.853189059156)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.864933421417)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.873244316197)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.301643459157)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0729731598874)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
34	0.113757644223	1	0
epoch 35
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.852626524876)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.862846705002)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.026145964786)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0095470348855)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.869751831671)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00923152522794)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
35	0.132931138398		0
epoch 36
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0106503777329)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.464771297898)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.82165063433)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.847787353827)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0804328947237)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0533730694511)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
36	0.122782884044	1	0
epoch 37
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.869743426642)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.879754640111)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.886285260776)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.892129547999)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.89737158237)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.902102729372)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
37	0.189218277574		0
epoch 38
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.906396231379)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.910311734924)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0550768298182)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0504530693748)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.914492841588)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.863106520228)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
38	0.12126190556	1	0
epoch 39
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0218007424411)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.203650698598)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0716152270071)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0573848834517)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.850579741617)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.861441996262)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
39	0.10396816647		0
epoch 40
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00398399043403)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00801021489659)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.869904811802)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.879072444962)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0267164683695)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.886596747779)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
40	0.186573629896	1	0
epoch 41
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.893812439994)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.416241753395)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.300897687048)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.86039428973)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.149543558245)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0360979477741)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
41	0.102814260839		0
epoch 42
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.121718343855)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.865445566305)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0110653545167)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.875199419108)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.883280919472)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.889436495048)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
42	0.184914287248	1	0
epoch 43
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.894951782197)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.413180600864)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.253883231925)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00846020599868)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0141474490737)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.866711162233)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
43	0.0877350220816		0
epoch 44
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.875936593459)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.882917215774)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.889123852441)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.894671200557)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0530658043719)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.902270744271)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
44	0.182137142394	1	0
epoch 45
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.9080059188)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.413525801033)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.127308242588)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.888742590868)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0450333992661)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0305826572923)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
45	0.156897665419		0
epoch 46
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.901976487177)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.90742934661)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.911247145391)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0379364856919)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.916291135787)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0279821329339)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
46	0.380392203968	1	0
epoch 47
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0194288115044)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.922668671632)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0533376732435)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.879318632022)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.886127296996)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.345677248564)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
47	0.145750961222		0
epoch 48
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.031804969688)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.860796238027)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00136297191152)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.870523382401)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.879481103883)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.313459420495)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
48	0.163208995992	1	0
epoch 49
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0738349830215)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.883287550601)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0518240374501)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0255013648917)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0106680712851)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.290897111523)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
49	0.145417793013		0
epoch 50
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.843261442759)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0457074317037)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.864426374016)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0392438891609)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.876920547783)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.885639149885)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
50	0.127795716731	1	0
epoch 51
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0467730029707)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0317416237321)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0146995063355)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.898178039888)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.903823741929)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.90795496652)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
51	0.138164181727		0
epoch 52
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0321898398101)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0222362937405)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0103324443089)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.915507300143)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.919332363901)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.922213778981)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
52	0.149037289226	1	0
epoch 53
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0257734969536)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.925729868035)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0207105858963)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.929431255395)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0177583464498)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.932647504628)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
53	0.160704764326		0
epoch 54
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0158960856454)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0117246646527)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.936164093135)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.93835710528)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.940020529336)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.941595633375)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
54	0.145743704208	1	0
epoch 55
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.312497869749)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.881096006469)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.89326438924)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.898335731714)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.000245964366681)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.325700659152)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
55	0.162542085445		0
epoch 56
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.325859453702)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.189092320399)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.853270759833)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0537592694126)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0251873714265)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.859058570653)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
56	0.156067650064	1	0
epoch 57
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.113587248318)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.852034441468)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.314981189664)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.863088717921)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.878446149555)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.203360365001)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
57	0.1371498036		0
epoch 58
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.858712524531)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.87318480475)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.880435586891)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.886917247434)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.892694492649)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.897880152691)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
58	0.160360333175	1	0
epoch 59
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.902563190093)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.326808234654)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0579729792554)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.905784763105)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.909616644429)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0365864005102)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
59	0.120606008752		0
epoch 60
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.910585145079)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.256407183855)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.889539360528)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0358365685287)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.158591143176)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.88486299868)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
60	0.148729479718	1	0
epoch 61
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.894368574894)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.899354498277)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.903899834339)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.908032903644)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0949262498029)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.154821776199)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
61	0.156742822022		0
epoch 62
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0847695704595)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.119427710418)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.329040437085)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.065044537642)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0615222942883)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.896771093638)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
62	0.0918702089196	1	0
epoch 63
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.901442615941)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00795939759226)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.904616272432)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00631024495656)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.908983259013)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.161792988865)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
63	0.135346268222		0
epoch 64
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.051105317369)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.903111287448)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.114191692667)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.896782105292)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.904028452249)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0567177727112)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
64	0.0758976155035	1	0
epoch 65
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.910809022459)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0381953861898)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0256104062866)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0118149618075)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.91998632524)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.142250558277)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
65	0.148366637441		0
epoch 66
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.911026365704)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.343721353645)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.915400875129)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.922824716627)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.925432608182)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.927889602057)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
66	0.111638652398	1	0
epoch 67
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.930183707813)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.228432776718)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0128596634987)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.024808358364)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.91537404525)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.918774480209)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
67	0.0733332883852		0
epoch 68
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00286764779816)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0047427376182)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.117758993566)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0276859877943)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00678247565519)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00172088707045)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
68	0.0673609042198	1	0
epoch 69
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.915736323528)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00593321003783)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0849189459623)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0366826155453)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.309321196665)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.909283800106)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
69	0.102937609351		0
epoch 70
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.151771024349)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.902880476651)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0693302659395)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.231137308647)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.124052320425)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.89395072261)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
70	0.100419746097	1	0
epoch 71
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.901700225254)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.906006073362)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.104724136774)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.899137721523)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0604317634934)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.899206388113)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
71	0.0728234219398		0
epoch 72
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.905396026424)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.909384126692)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.913047399463)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0129617339649)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00419531936423)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.914764920687)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
72	0.0615812251466	1	0
epoch 73
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0526540311151)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.913387498423)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.917941475812)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.920921676743)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0381075293845)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.92513948863)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
73	0.0591894756244		0
epoch 74
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0270031954795)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.929316922455)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.932163690374)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.027993897666)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.935068720962)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0207413668167)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
74	0.0627264210581	1	0
epoch 75
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0144396573586)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.115125067919)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0305490068365)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.933819462146)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.010504565478)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.936498615859)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
75	0.0570878542535		0
epoch 76
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0118130310942)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00919862315083)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0958916154178)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.933095583295)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.93632997589)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0278989724453)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
76	0.052508480779	1	0
epoch 77
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.938951571484)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.94110646629)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0262766665915)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0881673773628)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0397350388572)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.936434097842)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
77	0.156922109547		0
epoch 78
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.938874264955)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0372003980337)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.937877611861)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.940191733811)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0264384746422)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.386539179043)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
78	0.387416798545	1	0
epoch 79
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.939328230241)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.944178722386)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.945524897765)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.946819614524)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.948052418786)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.915515038637)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
79	0.116869634442		0
epoch 80
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.924384751125)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.178088377072)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.172951108229)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0400225613302)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.12334089944)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.91449007731)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
80	0.15383212074	1	0
epoch 81
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.225143558942)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.135050955655)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00513183256011)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0535216958562)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0334430426525)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.124813066973)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
81	0.0857414771722		0
epoch 82
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.891999099035)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.900016692909)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.091476040504)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.075552304588)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0902270092821)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0588263636783)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
82	0.0869027345126	1	0
epoch 83
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.886590195599)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.892425613117)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.10300056218)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.896412182778)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.90354676286)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.027569651493)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
83	0.0761685090803		0
epoch 84
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0122674519942)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.904199494938)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.908817127709)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0467818087508)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.103097460046)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.907889788116)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
84	0.0741683254573	1	0
epoch 85
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0724416545173)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0272180424552)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00135301459175)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.905241599505)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0300787784397)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.906457669429)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
85	0.0773197060732		0
epoch 86
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.911424074612)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.914911760167)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.918131209524)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.921105862426)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0429414672643)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.919942635295)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
86	0.0902755784423	1	0
epoch 87
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0268819467888)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.92114225855)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0186185158736)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.170654765474)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.922478639472)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0838047100324)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
87	0.072750628809		0
epoch 88
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0366726666124)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.100366552578)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0260318638823)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.923331215354)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.069755093419)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.03939674128)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
88	0.38167042455	1	0
epoch 89
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.924321423752)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.92682743002)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0586154934061)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.928655237292)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0321290514425)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.930075890126)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
89	0.384172165533		0
epoch 90
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00886201625289)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.931508063361)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.933820583978)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.892438872872)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.904989790521)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.908963743468)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
90	0.0784749344091	1	0
epoch 91
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.912662388722)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0527883430189)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0041151886911)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.911860481061)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0107896681426)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.915408550343)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
91	0.0689088876222		0
epoch 92
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0151414752611)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.917941118434)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00110021804552)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0888550444113)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.913272451432)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0541610278191)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
92	0.066691594702	1	0
epoch 93
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0195757311584)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0125481962395)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0541112799079)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.91111154957)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0398574463768)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0400893515816)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
93	0.0639961776959		0
epoch 94
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0301816319574)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.910001288579)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0191424273175)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0145625779318)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.916151237131)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.919969702754)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
94	0.0619694177904	1	0
epoch 95
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.922804355444)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.925441680281)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0634530282656)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.92258527994)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.926394383614)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0601897208189)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
95	0.0590109812294		0
epoch 96
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0378160946206)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.933468774325)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.936108034261)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.937896171495)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.93958712628)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0376074283675)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
96	0.063444374995	1	0
epoch 97
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0240695952401)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.12612547276)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.936025202467)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0730291638893)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0286545316131)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.932963957903)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
97	0.0739615080134		0
epoch 98
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0269978143655)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.933387918325)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.15478701222)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.935242724993)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0852153673158)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0202022644553)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
98	0.0503541410533	1	0
epoch 99
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.934615927345)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.93699872573)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0140708055548)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0104886794981)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.939580658882)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00800842367464)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
99	0.0519069974001		0
epoch 100
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0764026068054)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.936835244058)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.939587736874)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0271568600282)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0179859764774)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00826511285798)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
100	0.0494604212489	1	0
epoch 101
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.943371373015)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0772800770787)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.940221443267)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0229848959311)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.943350151026)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.945177005505)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
101	0.0470624859331		0
epoch 102
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0604161149972)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.942772666001)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.036973029918)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0460559481042)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.943720942535)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.945719439301)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
102	0.0452270868301	1	0
epoch 103
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.947002059108)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.948226284557)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.949393659005)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0517917648995)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.952003894623)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0714048865889)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
103	0.0466112858511		0
epoch 104
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0285812810058)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0177069719195)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.948068663178)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0522876286513)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0342452972531)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.949725278831)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
104	0.041686500749	1	0
epoch 105
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.951264587264)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0410072622769)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0255923489693)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.95449148179)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.955712980447)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0164840543062)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
105	0.0421426010359		0
epoch 106
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0115028371615)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0053651238734)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.957569107276)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.958509501669)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0773171827827)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.955795647952)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
106	0.0396036272171	1	0
epoch 107
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.957204561092)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0302973447625)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0191245582099)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.959425280175)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0743296740211)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0347840009091)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
107	0.036656001719		0
epoch 108
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0200238404521)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.955247067805)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0172190698069)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0386504479968)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.956697956517)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0205997730117)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
108	0.0337031129966	1	0
epoch 109
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.958343665007)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.959347330946)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.960060972739)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0459820567862)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.958682057206)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.959829999488)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
109	0.0369299927677		0
epoch 110
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0281677001106)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.010416670546)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0445037588021)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0243340792743)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.959455761138)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0197116393181)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
110	0.0345833423593	1	0
epoch 111
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.959483967812)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.960430906942)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.038067194458)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.961975043653)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0228542399828)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.963385823339)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
111	0.0326371372948		0
epoch 112
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.964186008932)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.964738068225)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00601914221875)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.965345784214)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.965964598463)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.966462858353)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
112	0.396355889063	1	0
epoch 113
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.966946721505)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0327294222435)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.020174056057)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.968638424681)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00786858581161)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.952895937363)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
113	0.0956492565084		0
epoch 114
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.953959049186)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0377012431299)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.218953907643)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.952790468421)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.955395559405)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.956252290809)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
114	0.0966575467773	1	0
epoch 115
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.114523421647)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0478617010146)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0292364232058)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.948703252701)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.95026232376)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.16811262707)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
115	0.0932755488878		0
epoch 116
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0802676821938)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0472249593502)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.094830163102)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0619550201941)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.94334886934)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.94550538686)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
116	0.0937012505478	1	0
epoch 117
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.199068911529)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0269222595783)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.939301189992)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0226425766953)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0117532724384)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00674823259326)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
117	0.0571028624738		0
epoch 118
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.942875475805)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00143517801749)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00148801536369)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000510155412781)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.944282048252)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.945854037616)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
118	0.0617170916229	1	0
epoch 119
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.119668359863)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.946684065865)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0614467409426)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.945478393725)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0799913068416)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.947122491322)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
119	0.0843137282945		0
epoch 120
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.949173073501)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.152515100113)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.944941530173)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00940291711038)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00194093472932)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00156736484522)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
120	0.0508942295178	1	0
epoch 121
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.944357132317)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.945942284456)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.94721583266)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.948430025464)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0164480714673)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00504012481558)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
121	0.056657436707		0
epoch 122
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0034324456731)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00184486176753)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.106806220856)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.947961636231)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.950160731401)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.951237156292)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
122	0.057282569257	1	0
epoch 123
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.952270667322)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0752575880026)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0940857228416)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.949954178366)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.951925843991)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0706877052097)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
123	0.0453359056836		0
epoch 124
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0282673973318)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0175179941856)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0634061814902)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.947453130426)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.949353154067)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0459068112234)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
124	0.042679668499	1	0
epoch 125
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0463743218926)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.948111068472)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0457838239725)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.947173844146)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.948952763961)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0661231776179)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
125	0.0454070061184		0
epoch 126
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.947679714467)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.948540812753)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0058795426498)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.000601834668306)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0007231177861)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.949178685526)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
126	0.0479342459695	1	0
epoch 127
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0798295854893)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.950158128672)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.920199389235)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.928392428205)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.930621566283)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.125705868113)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
127	0.0615126814125		0
epoch 128
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0191781582371)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.925332495575)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.927988032349)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00106820559561)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.929908225588)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0564171666079)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
128	0.0477996254988	1	0
epoch 129
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0264676041183)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.937171814915)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.938936053434)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.032522720543)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0220978487579)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0118894583036)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
129	0.042913040751		0
epoch 130
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.940649069025)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00171970726265)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00290168651784)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.942355760175)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.944019956495)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00773140588733)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
130	0.0390932916985	1	0
epoch 131
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.94472278201)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.946338384181)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0107247887264)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00255148718156)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00192952181202)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.946655671953)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
131	0.0374198475754		0
epoch 132
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00650814226517)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.000792089673118)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.000853307238665)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.947528254698)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00573520517826)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.94842935174)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
132	0.0374324399834	1	0
epoch 133
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00610863157258)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.949312274295)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.950659210884)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00930751321627)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00212462216521)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00163688516321)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
133	0.0387812379261		0
epoch 134
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.950964155318)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0454970904092)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.953450241192)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0295813110451)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.953282231908)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0362807169678)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
134	0.0370410100175	1	0
epoch 135
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0298412280343)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0264170176756)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.027865644372)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0169627503288)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.954935345664)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00909309802114)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
135	0.0356366850744		0
epoch 136
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00689469879586)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0334886001281)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.954947149568)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0217781257429)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.955039112427)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.956207108689)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
136	0.0330792070221	1	0
epoch 137
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0164266268194)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0272782088561)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.957048869556)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.958156110718)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.958912640168)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.95964263986)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
137	0.035081100269		0
epoch 138
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0272461163021)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.960949607762)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.961877938419)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0482418929472)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0190052458837)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.959938025111)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
138	0.0326225345756	1	0
epoch 139
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0345241857575)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.961642980318)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.962583880999)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0377520084353)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.961586356834)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.962548666089)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
139	0.0331571326591		0
epoch 140
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0236407849647)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0086096281666)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.961913988089)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0456910781631)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0258877761997)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.962970764907)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
140	0.0307129875621	1	0
epoch 141
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0202209375791)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0359510171433)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.963918237547)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.964769387687)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0309808578873)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.96405691686)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
141	0.0295162550998		0
epoch 142
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.964874923334)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0333543352375)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.031325841094)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0158489770048)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0258138978134)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.013716558063)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
142	0.0290010765898	1	0
epoch 143
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.965848922365)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.96650432817)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0101900528109)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.967134363937)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.967725656654)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0114624888252)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
143	0.0348007278617		0
epoch 144
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.968345392688)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0498005868638)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.967143623721)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.967934550866)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.96837565542)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.968805332054)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
144	0.0310762686893	1	0
epoch 145
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0328561711446)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0364836987053)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0291960840886)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0151987254676)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.96782837456)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0130556305926)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
145	0.025506005443		0
epoch 146
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0278528809887)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0159695137538)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.968166618946)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.968751038466)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0152040274884)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00528822816349)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
146	0.0245038680741	1	0
epoch 147
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.968498348808)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.969019304012)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.969431266787)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.969832442663)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0125103119748)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0387757953076)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
147	0.0253321382485		0
epoch 148
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.970593259347)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.971200433519)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.971555580809)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0257956557604)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.972329529802)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.972821272968)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
148	0.0327937237367	1	0
epoch 149
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.973137331229)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.973446330461)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.973748195858)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0493014737847)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.019895666952)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.972226688747)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
149	0.0265990940035		0
epoch 150
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0382086129381)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0300809360803)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.972632808984)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0260026185766)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.973547503885)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.01559178616)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
150	0.0259091724761	1	0
epoch 151
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00997077575915)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00453672584705)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.974578390215)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0463339781932)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0144751550355)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00238355869589)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
151	0.104236210174		0
epoch 152
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.246854998967)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.965365716516)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.112152741888)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.960207087748)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.961673833095)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0621791124366)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
152	0.033958890204	1	0
epoch 153
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.95964249085)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.960842712052)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0362689188102)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0138800747081)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.959525854068)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.960434804042)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
153	0.0686000871925		0
epoch 154
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.961110416803)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.150347603627)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.963603962393)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.963432446759)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0904722081664)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0373579501892)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
154	0.0330271169581	1	0
epoch 155
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0229127890005)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0126181559598)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00713340049088)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.957903909805)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.958840996926)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.959573044338)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
155	0.0297234905044		0
epoch 156
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.960279449341)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0162089456927)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0053947893621)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.960048650494)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00791380776736)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00189524417116)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
156	0.0280102816401	1	0
epoch 157
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.96041329624)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.961211387257)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.961860619598)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0102046997877)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00292973077056)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00204679800762)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
157	0.0269819015863		0
epoch 158
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.961857198854)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.962598676632)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.96320174015)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00955235846916)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.963322958431)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00703061394377)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
158	0.0256986579974	1	0
epoch 159
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.963688959224)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.964388517733)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.964934515012)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.965464039668)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.965977504937)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.966475640057)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
159	0.0190072930075		0
epoch 160
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.98834731592)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0144930510974)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00569126772963)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.966287928141)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.988516085564)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.988553811719)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
160	0.0153283106733	1	0
epoch 161
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00432607155491)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.988582782038)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.988654659198)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.966881650141)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.988876495538)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00101386702726)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
161	0.0147948529269		0
epoch 162
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (4.57319755546E-5)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00010031670829)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.988900403659)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.988961116416)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.989012704508)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00268320245733)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
162	0.0147103765215	1	0
epoch 163
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00150232296037)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.9890673694)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.989123491035)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00264298601387)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00148158418718)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.967799123409)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
163	0.0144093834301		0
epoch 164
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00217112528817)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.989305866005)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000689268251983)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.968239222035)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.989518217783)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.989548925256)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
164	0.0140965001594	1	0
epoch 165
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.989595163133)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00133725856064)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.968829867109)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00199494120343)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.969176317006)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0028833758879)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
165	0.013754642808		0
epoch 166
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.989877550801)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000247631586695)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000449368156274)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00020854523121)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.989927710809)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.98997718824)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
166	0.0137095060077	1	0
epoch 167
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.990019685966)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00262121374845)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.990064425216)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0022441176868)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00128143013872)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000717730967672)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
167	0.0135488851666		0
epoch 168
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.990111572021)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.990158449004)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.969996599033)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.990330859629)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0010428895525)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.990353798726)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
168	0.0133043102823	1	0
epoch 169
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.970478475312)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00109648712539)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000576570287306)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000154440829933)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000110990759131)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.990504648045)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
169	0.0130888727897		0
epoch 170
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000634254974454)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.97087975474)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00217076625659)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.990646571857)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.990692720291)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.990729345663)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
170	0.0129707339361	1	0
epoch 171
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00223856004051)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00125609782593)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000706646685181)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.990768643202)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00100424765128)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000736320053898)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
171	0.0128032004032		0
epoch 172
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.990807929421)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.990848313004)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00185535787534)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.990884125328)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00178292116056)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00105937780122)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
172	0.0126998351454	1	0
epoch 173
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.990923269095)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00121341255883)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.971744068721)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00180867232425)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000231107257199)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (4.76282532715E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
173	0.0125277955856		0
epoch 174
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (1.51528688419E-6)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (4.44668074426E-6)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.97204028599)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.972429338767)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.991271645607)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.972746908817)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
174	0.0126036900369	1	0
epoch 175
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00521392719249)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.99136567892)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.9914093802)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.991440563875)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000469379308029)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.973017478035)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
175	0.0119970831083		0
epoch 176
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00207078756251)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.991552877072)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000411975610095)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.973315951058)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00207348628666)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.991669783804)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
176	0.0117928301021	1	0
epoch 177
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000392712167604)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.973606895637)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00205805050442)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-5.84665610848E-5)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.991786555276)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.973896241556)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
177	0.0115893149642		0
epoch 178
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00187594142382)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.974122483853)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00251198039273)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.991973305118)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000125857792309)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.974386334923)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
178	0.0113861424223	1	0
epoch 179
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.992099545718)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.000759421893847)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.992109734309)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.992141200809)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00109436625596)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.992166191187)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
179	0.0112748195614		0
epoch 180
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.974781528511)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.000873767683637)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.97501764504)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00195377092165)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.992339229846)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000350489281633)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
180	0.0110173061644	1	0
epoch 181
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000407606201628)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.975285430045)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00213862559645)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.975489628102)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.992525744064)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.975788542149)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
181	0.0109150876182		0
epoch 182
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00332487022899)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.000552674926934)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.000498110260189)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.992601420836)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.992628826644)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000836330753595)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
182	0.0106876574698	1	0
epoch 183
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000601706211279)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.992650911477)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.976037614388)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.992754839912)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-2.41896114219E-5)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.992765051575)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
183	0.0105350220628		0
epoch 184
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.97632406494)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00133323587835)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.992851540416)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000582752668608)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.99287612977)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000957592649159)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
184	0.398830883021	1	0
epoch 185
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000644143166511)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00034714770178)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.976618641697)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.988787857145)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.989578711531)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0613140573037)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
185	0.023760585148		0
epoch 186
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.966772741397)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.989902673984)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.989929237918)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0306895915566)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.990074908372)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.99007493746)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
186	0.018751870546	1	0
epoch 187
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.968009539407)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.990258714796)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0161802489361)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.990333260723)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00900235496765)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.990379061649)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
187	0.0142369156933		0
epoch 188
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00540532491097)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.969422408872)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-7.2083082758E-5)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.990532363877)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.99057624465)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.99061379779)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
188	0.0136330241158	1	0
epoch 189
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00344241066821)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00176573416849)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.990657421084)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00171542198345)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0010388599864)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.990698379642)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
189	0.0133158496405		0
epoch 190
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.990739301972)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.99077556347)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.990811543352)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00380821153765)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.001912550137)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00110792949849)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
190	0.013168851628	1	0
epoch 191
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000618335003985)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000348335154589)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000195767582435)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.970495103477)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.990982577465)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00115059353914)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
191	0.0129821019867		0
epoch 192
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.970863661904)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.991119296106)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.991139954016)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.000698682832802)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.991165629921)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.991204891373)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
192	0.0127761403113	1	0
epoch 193
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00130372612286)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00084703991696)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000460055200281)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000260986411863)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.991237735758)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000689392381336)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
193	0.0127012852591		0
epoch 194
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.971459796768)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00211012054414)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.99136400604)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.97179764695)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.972177406525)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00365688994872)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
194	0.0122975647147	1	0
epoch 195
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000561011279001)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.000528172133024)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.991581040396)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.991616501754)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.99164619906)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.991675688862)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
195	0.0123515668796		0
epoch 196
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00254080235979)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00135039141572)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000770429367849)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000431611841616)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.972574728492)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00236374393127)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
196	0.0120629014897	1	0
epoch 197
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.991792451753)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.991828556966)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00103285327627)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000711773650225)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.991856009861)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.991887605519)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
197	0.0120296701604		0
epoch 198
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0016832400896)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.991915844114)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.9919457222)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00235311953992)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.973143980127)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.992073301714)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
198	0.0117514084581	1	0
epoch 199
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.992089305656)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00101805029619)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.992114400238)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00124725846618)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00079198454655)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.973594148552)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
199	0.011634930752		0
epoch 200
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00204335149204)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.992219567985)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.973878983786)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00188160708399)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000122688037933)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (9.89990558403E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
200	0.0114592507479	1	0
epoch 201
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.992325371694)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.97415106469)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00180576925256)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.992424213299)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000450788894666)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000446810174632)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
201	0.011313826032		0
epoch 202
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000223723455327)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000129708667572)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.992452675576)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.9744697915)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00166357357469)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.974691501976)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
202	0.0111760197184	1	0
epoch 203
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.992638572206)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00104867688168)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.000190333326136)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.992646497546)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.992673213604)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000943611702543)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
203	0.0110398535644		0
epoch 204
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.992694728188)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00115504809656)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000733304391829)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000400391907766)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.975105364675)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.992804058061)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
204	0.0108806894344	1	0
epoch 205
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.000833273449834)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.992811356091)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000255101495646)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.992834793167)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000797630400084)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.975439540342)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
205	0.0107800750687		0
epoch 206
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00171295452827)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00013697071656)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.992925011464)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000351931534857)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000388086778758)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000191151017436)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
206	0.0107232535357	1	0
epoch 207
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000111330370867)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-6.2050837781E-5)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-3.49677816309E-5)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.99294764114)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.992971964521)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.992992815001)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
207	0.010751822994		0
epoch 208
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.993013543226)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00240691336906)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00124815269694)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000716777739944)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.975884076729)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.976169969478)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
208	0.0106611129101	1	0
epoch 209
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.993180243997)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.993191767528)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.976422377235)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.993282811833)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00223030437281)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.000708737505679)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
209	0.010313836811		0
epoch 210
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.993286204732)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.993309034778)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000491315614172)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.993326083798)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.993347374269)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00149080582808)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
210	0.0102619249187	1	0
epoch 211
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.993366614646)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.976749357918)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.000634867420634)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.993443207826)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000881093162956)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000592561568672)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
211	0.0101190436554		0
epoch 212
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.97700782059)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00183279882087)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-3.00622282039E-5)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.993521295217)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.977221695076)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00170547728502)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
212	0.00994314220749	1	0

Success in 213 training rounds!

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