epoch 0
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.158648504513)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0689757274022)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.184891863227)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.110903408849)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.649652254309)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.478622026707)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
0	0.525450502554	1	0
epoch 1
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.661549468072)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.152147984995)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.439505801446)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.67910525583)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.114775245222)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.42941928917)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
1	0.336011985439		0
epoch 2
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.665795200147)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.40761676905)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.71174439691)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.326678943016)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.715858245249)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.764299747394)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
2	0.192229435467	1	0
epoch 3
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0642532323071)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0586827117051)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.814888421805)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0350675168934)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0340782646151)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.37882744166)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
3	0.172984450824		0
epoch 4
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.804437009274)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.822710330665)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0486514266544)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0437338738694)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.850624039069)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.866683385584)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
4	0.180522411014	1	0
epoch 5
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.389383407098)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.849406033147)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.305167745746)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.272440622344)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.145803654757)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.792146359476)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
5	0.163808315958		0
epoch 6
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0196727435634)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.242844808849)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.112879118581)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.527361454814)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0420640298765)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.719188505499)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
6	0.161416480362	1	0
epoch 7
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.775933070681)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.815981816455)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.842444669868)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0320968325757)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0171158391524)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.195424210501)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
7	0.118046029848		0
epoch 8
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.842399367854)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.855387895777)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.871201525396)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0178382489164)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.134378098671)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.205395041314)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
8	0.245337322368	1	0
epoch 9
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.858313368428)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.868094267015)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.881146596378)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0250639776594)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0138001473638)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.202847532267)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
9	0.432930252567		0
epoch 10
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.599509972126)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.832558361714)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.860913427727)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.875693649253)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.887298922814)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.896764195931)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
10	0.089239325346	1	0
epoch 11
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0826857096774)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.905090925908)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0721847410669)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.049928264297)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.909141822704)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.913930731823)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
11	0.236007161942		0
epoch 12
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0584433151841)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.919671435371)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.685232093612)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.87967791833)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.10329862751)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0721453403695)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
12	0.0952798010856	1	0
epoch 13
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0617082379266)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0514996299781)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.877272124654)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0269262209603)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0549491058413)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.885829178527)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
13	0.0835075995059		0
epoch 14
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.893659135432)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.902030760529)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.90911317612)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.915179850361)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0744530497798)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0520604907899)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
14	0.0768385484447	1	0
epoch 15
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0444196964061)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.918861860952)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0470996900711)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.922973518046)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.926324672401)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.9302587575)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
15	0.0827823995104		0
epoch 16
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.933779909597)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.160130473041)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0587978058082)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0560596586415)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.046243289455)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0387300385829)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
16	0.0711729172428	1	0
epoch 17
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.116395247086)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0423446360327)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.925157069571)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.050231368711)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0823012069429)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.925975532314)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
17	0.064165567005		0
epoch 18
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0560780597996)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0388056458522)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.928162607547)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.931115429413)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00858358031664)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0443160199826)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
18	0.06038366986	1	0
epoch 19
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.934688912137)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.937028089851)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.939881661915)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.94248085311)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0497076092482)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.944975310279)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
19	0.0663179201559		0
epoch 20
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.946516929306)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0455757165377)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.948665749199)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0396443600973)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0275039800905)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.152486861735)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
20	0.0556010779313	1	0
epoch 21
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.946828957714)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0509031562522)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.94753985702)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.948909311296)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.95077229927)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0485426855064)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
21	0.0621312982529		0
epoch 22
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0341947697692)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.952153340198)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.123367915381)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.041360855967)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.950496565057)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0476681918267)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
22	0.0528279066893	1	0
epoch 23
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.951840792607)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.952982193174)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.954555653425)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0663173724732)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.955390388295)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.956414673169)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
23	0.187826560356		0
epoch 24
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.446504788465)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.944676121971)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.702270591945)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.10586291118)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.92932291935)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0577278076753)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
24	0.249273569135	1	0
epoch 25
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.931673654583)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.934126352857)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.937254358292)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0561782821516)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.039341233991)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.939615958024)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
25	0.25755374521		0
epoch 26
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.941620809905)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.624228602684)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.917422211803)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00694709982858)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.898294764673)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0494428864104)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
26	0.070639670153	1	0
epoch 27
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0326763735263)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.904764926523)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.039028497062)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.910810156838)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0360303298943)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0232653360588)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
27	0.0614569146743		0
epoch 28
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.91544290258)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0292024478787)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.920258670069)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.92408332018)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.928267987005)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0341004383944)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
28	0.0504882099916	1	0
epoch 29
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.932260533649)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0309566064295)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.93514064941)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.937572479088)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0310539445268)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0206919581322)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
29	0.0440935294834		0
epoch 30
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0177973476261)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0148269434952)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.516841714818)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.101257380529)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0435111021547)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0402434489008)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
30	0.0586427790964	1	0
epoch 31
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0332808367411)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.9234682718)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0369907417377)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.927224791993)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0335961295034)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0221545769276)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
31	0.0512097181097		0
epoch 32
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.930137974126)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0267124075204)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0171715724519)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0148443458408)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.932817622534)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.935603515631)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
32	0.046130021799	1	0
epoch 33
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0220233084664)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.938822854904)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.941045272122)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0233618134812)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.943726414803)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.945573288393)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
33	0.0407029327776		0
epoch 34
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0240306638991)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.015805464112)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0136188874874)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.947461598251)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0167287853638)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0104717226382)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
34	0.197471729425	1	0
epoch 35
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.949134206412)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0140747553535)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.950868332274)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.013695859537)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.952454637196)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.489735042982)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
35	0.385680666401		0
epoch 36
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0968301943261)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0410669530044)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0380864464307)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.942340039064)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0392709942064)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.944302831951)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
36	0.0453960769163	1	0
epoch 37
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.034684440788)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0236525644578)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.945775557337)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0266134374007)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.947625672931)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0241348085377)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
37	0.0375702386133		0
epoch 38
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.949322371583)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.950789510705)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.95251645333)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.954123695769)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0282658929136)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.95571648255)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
38	0.0353437300038	1	0
epoch 39
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.95678207422)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0270061217368)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.958191177436)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.959136666157)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0257548665046)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0176068698186)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
39	0.0300936045086		0
epoch 40
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0150901998882)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.96007273915)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.960998886568)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0186891550302)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0124435522699)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0107035734255)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
40	0.0276468603214	1	0
epoch 41
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.961931712394)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0128198842296)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.962873948668)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.963679733677)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.964612226263)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0152396219162)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
41	0.0253623835197		0
epoch 42
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.965561630352)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.966235667292)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.967040053908)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0168768293148)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.96785883641)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.96843158074)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
42	0.0247806177314	1	0
epoch 43
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0165959490902)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.488167051155)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.959955376249)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0699331851454)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.951805054955)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.948915312508)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
43	0.267096657625		0
epoch 44
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.458078008769)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0206777925301)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.9363699828)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0521204587989)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.938955408194)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0454849905063)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
44	0.0472496372549	1	0
epoch 45
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0314571561211)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.94055718295)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.942562980975)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0368864392208)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0252171985075)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.944704883686)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
45	0.0930108513926		0
epoch 46
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0281671564457)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.018836340808)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.365202743972)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.939804434929)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.939197842107)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.911769150401)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
46	0.184820124055	1	0
epoch 47
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.304203772479)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0236839620241)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.902006423748)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.90803230579)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0543161913458)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.914642214589)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
47	0.0668570121934		0
epoch 48
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.918757789095)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0520332172243)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.923864642991)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.927071909344)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.93092431676)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0523967537311)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
48	0.109076979618	1	0
epoch 49
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0362700947503)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.933946996733)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0394371378606)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.936629436462)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.938861209799)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.941547954022)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
49	0.109470010308		0
epoch 50
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0404610914647)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0278297562254)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.94373466918)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.283500333202)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.878426636044)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.237369822485)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
50	0.0840539483796	1	0
epoch 51
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0170187281175)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.897715085326)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.904411272731)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0452074004536)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.911607592269)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.916173768181)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
51	0.0853546647484		0
epoch 52
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.921301144614)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0482890278587)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.926098948219)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.170509699924)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.925347138498)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.927148413112)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
52	0.0701808707901	1	0
epoch 53
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.930984774396)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0566368712746)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0598534959929)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.934149048478)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0582232976777)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.936537752232)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
53	0.0826892701881		0
epoch 54
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.938599366334)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.941308768815)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0559466634381)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.943896846754)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.185063368983)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0617835621182)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
54	0.388654066608	1	0
epoch 55
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0787053511014)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.939277151319)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.940951232809)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0742388165696)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.943528036514)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.063479299691)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
55	0.0711221860572		0
epoch 56
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.131278601286)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0577975199031)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0531579353392)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.939973643141)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0825613179013)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0559142848609)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
56	0.0544897870382	1	0
epoch 57
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.939503171514)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.941366700572)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.593388408105)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.923543728802)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00489766273607)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.000745654025484)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
57	0.0545909959748		0
epoch 58
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.92280243964)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.926691422545)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.93058872394)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.934075865382)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0168062328266)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00999483723278)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
58	0.0447765790358	1	0
epoch 59
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00874066831067)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.93716401227)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.939641683455)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.015859214559)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0095182071891)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.942310042925)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
59	0.0405277017783		0
epoch 60
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0138277178732)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.944576510332)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0137787407619)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.946625200908)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.948350153476)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.950256088042)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
60	0.0362587066453	1	0
epoch 61
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.952022795124)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0201953101108)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.953784331816)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0185748712729)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0120841512978)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.010428418022)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
61	0.0324966269827		0
epoch 62
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.954870759214)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0131688401171)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.95622117876)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0127109920535)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00783617985668)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.957372705964)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
62	0.0303468728737	1	0
epoch 63
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.958484558088)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0126915637209)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00790801765934)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0068672801121)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.9596511566)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.960649049372)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
63	0.0281892066889		0
epoch 64
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0112205802134)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00690110882798)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.961756817601)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.962649590064)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.963636540447)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.964571748196)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
64	0.0264494996638	1	0
epoch 65
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.965458879927)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.966301606184)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0173070524386)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0116185212221)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00998245423693)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00831677083062)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
65	0.023904086578		0
epoch 66
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0069531564447)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00581076547057)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.966821077426)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00795793431301)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00431768959452)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0042312949295)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
66	0.225980950784	1	0
epoch 67
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.967482529885)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.968133447975)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.968849123224)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00912173882972)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.969587710083)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.970131905353)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
67	0.0218706057722		0
epoch 68
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0100822201448)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.970808527942)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.971303410511)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.971882424015)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.972438288732)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.97297217931)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
68	0.0213097255967	1	0
epoch 69
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.973485389064)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.973979111283)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0165828533867)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.974483573706)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.974829663603)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0157800190523)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
69	0.240341608049		0
epoch 70
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.97530143742)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.975626471095)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0150505061488)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.976068811124)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.594948714059)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.968536692412)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
70	0.399283669308	1	0
epoch 71
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.971104810854)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0753804082534)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.971669114622)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.971846950062)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0643912585134)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.972387341327)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
71	0.251926688686		0
epoch 72
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.054074527319)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.972588462801)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.972834262385)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0467605277895)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.033699722373)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0286853065127)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
72	0.0255391989583	1	0
epoch 73
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.972946695493)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.973289637267)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.973790411563)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0306304118414)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.974288176989)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0262302469495)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
73	0.0222266277342		0
epoch 74
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.018520857501)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.97447865081)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.974817186625)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.975261910398)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.975691137405)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.976105470504)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
74	0.0235002666497	1	0
epoch 75
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.976505679784)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.976892483079)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.977266550015)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.977628506008)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.977978935881)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.97831838712)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
75	0.0256402495777		0
epoch 76
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.978647372825)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.978966374383)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0311204698796)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.979280263212)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.979450063641)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.979745167251)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
76	0.0244126316892	1	0
epoch 77
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0281643641906)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.980037471744)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.980200569868)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.980474377525)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.980740770626)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0264629615789)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
77	0.018960049875		0
epoch 78
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.018925098482)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.980910989144)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.981083891446)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0199317375243)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.981343140302)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.981504009418)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
78	0.0180973852716	1	0
epoch 79
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0179361066862)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.981752906218)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.981911166267)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0162633001308)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.982150060661)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0140989179883)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
79	0.315899258573		0
epoch 80
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.773060900526)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.971413928084)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.943141877035)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0178015417424)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0110958057634)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.941488549723)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
80	0.0413283384572	1	0
epoch 81
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.943604626485)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0178427109639)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.946063664217)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.947794000623)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.949741809909)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.95154588582)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
81	0.0370524380654		0
epoch 82
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.953220651655)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.954779808248)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.956235164185)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.957596950673)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.958874079081)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0331611725224)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
82	0.0325731456055	1	0
epoch 83
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0230867976614)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0197389460185)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.959717149745)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.960632307044)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0229872067653)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.96180086582)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
83	0.0301624925144		0
epoch 84
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0205081571155)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.962666860458)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.963438118913)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0200381597964)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.964445831566)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.965141398142)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
84	0.0277111589498	1	0
epoch 85
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0194877710026)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.966055785564)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0174484567243)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.966742692532)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.967356616681)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.968107857902)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
85	0.0256501418436		0
epoch 86
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0185465368519)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0126031963117)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.968764610208)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0142931659463)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.969372577535)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.969900390982)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
86	0.0231722712533	1	0
epoch 87
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.970537996347)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0156191174696)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.971189944596)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.971646497566)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0152745350194)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0103105833763)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
87	0.0206495534141		0
epoch 88
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00885192858824)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.972115996811)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.972570416237)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.97309896396)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.973607323356)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0137580830367)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
88	0.0194295633018	1	0
epoch 89
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.974129573481)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.974497761238)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0134928014141)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.974984662528)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.975327896297)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0132011895031)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
89	0.0182460072266		0
epoch 90
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00890955600679)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.975724081881)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0102655477494)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.976093223998)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.976416182184)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.976805830242)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
90	0.0180533613197	1	0
epoch 91
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.977182731356)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0124333613808)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00840807984307)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.977519938411)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.977809505963)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.978154139979)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
91	0.0172604903822		0
epoch 92
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0115364741308)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.978510627358)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0633992218013)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0257242876112)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.97891596125)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0176947650083)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
92	0.01715489544	1	0
epoch 93
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0123654218544)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.979058331504)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0131890906496)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00903477544938)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.979262729918)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.979504619664)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
93	0.0162517501614		0
epoch 94
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.979798251765)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0118244826819)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00805109796789)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0069038388176)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00575301858473)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.980000847297)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
94	0.0147864847758	1	0
epoch 95
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.980234943658)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0076750071898)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00499548381829)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.980500823199)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00622848465257)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.980746138457)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
95	0.0141008271237		0
epoch 96
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00593122392803)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.980981532971)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00567735074279)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.981211955258)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.98141754787)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.981658607005)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
96	0.0137364199484	1	0
epoch 97
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.981893464065)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.982122305959)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00857436374509)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0057281891273)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00492483032904)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.982313433244)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
97	0.218760502253		0
epoch 98
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00586994448144)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.982513722221)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.982690010142)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00630044679893)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00406541419783)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.982895117587)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
98	0.226076434151	1	0
epoch 99
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00516466134673)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00323213436969)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00280495399835)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.983057971223)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.983231049131)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.983427105683)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
99	0.228092233257		0
epoch 100
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00529572579757)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.983633713999)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.983788505124)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.983971662061)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00641537593153)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.563534802775)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
100	0.403782463629	1	0
epoch 101
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0960675247812)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.980276757791)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.980225941812)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0482580208594)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0350786563768)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0298266334249)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
101	0.249024718993		0
epoch 102
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.980178327084)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.612402653678)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0663610678479)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.971044183908)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0178807955046)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.971946671167)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
102	0.190374712281	1	0
epoch 103
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.463494825848)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.964712901878)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.967490304667)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.96824037707)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0437627033413)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.968966466437)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
103	0.0341020893628		0
epoch 104
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.969367968959)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0385809576162)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.027499150457)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.969831357804)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.970280549231)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0293093481917)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
104	0.0252177163431	1	0
epoch 105
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.970928140992)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0252932132618)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.971361145437)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.02198529318)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.015269477153)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0130587567029)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
105	0.0215048802349		0
epoch 106
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0108856446769)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00910041358245)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.971472517961)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.971948209608)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.972501250622)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0129797213663)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
106	0.019999011567	1	0
epoch 107
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00864296451874)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00743424265006)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00619288968941)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00517753957021)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00432684680587)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00361609100036)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
107	0.0193226244946		0
epoch 108
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00302206745969)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.972822559935)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.973277644337)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00605993560318)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.973821159222)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.974230296776)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
108	0.0186033662124	1	0
epoch 109
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.974696280763)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00829081521883)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00525217417955)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.975143052899)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.975513473688)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.975933826977)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
109	0.0179016885588		0
epoch 110
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00900769294396)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.976370625019)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.97669025045)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.977070828083)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0103848929055)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.977465397339)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
110	0.017102237426	1	0
epoch 111
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0094809459078)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.977775615654)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00872874843537)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.978080444469)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00809842206375)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.417093345054)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
111	0.400416211202		0
epoch 112
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.972577323164)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0214379173077)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0181875871757)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.948709379545)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0173885591846)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0110090319159)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
112	0.035817859462	1	0
epoch 113
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.950251959585)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.951760160226)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0165894166954)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.953547117205)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0156274038559)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.954934447226)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
113	0.0327363078872		0
epoch 114
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.956128995087)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0167093302898)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0107927174465)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00932345993596)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00776300210809)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.957307986429)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
114	0.0303310048401	1	0
epoch 115
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.958423824459)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.959650336371)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.960805086315)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0158250913896)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.961974494189)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.962804696832)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
115	0.0280674683642		0
epoch 116
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.963783214295)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0178145770104)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0119004799786)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.964659885027)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.96539058168)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0155046951604)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
116	0.0249094344218	1	0
epoch 117
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.966296986183)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0141703930251)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.966998056755)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.967618463714)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.968357604649)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.96906335533)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
117	0.0245986282652		0
epoch 118
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.969737634578)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.018462489274)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.970423071231)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0164147349019)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0111099422125)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0095347069622)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
118	0.021408976588	1	0
epoch 119
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00794471598126)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00664199690015)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00555073171976)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00463894597984)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.970618418284)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.971144920728)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
119	0.0207395963743		0
epoch 120
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.97173046604)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.972292416755)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.972832030268)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.973350628554)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.973849430684)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.974329562411)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
120	0.0206587668065	1	0
epoch 121
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.97479206499)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0158519926449)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0108525632901)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00929922796268)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.97514106591)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.975495882907)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
121	0.0188711922205		0
epoch 122
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0114997446754)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0076561845459)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.975895463232)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.976233967652)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0101101274754)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00665428310881)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
122	0.13511581967	1	0
epoch 123
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.328376940318)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.971461841729)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0498360781746)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.973254693226)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.973500450215)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.973993107649)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
123	0.0361378813443		0
epoch 124
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.974467927792)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.974925412262)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.975366503396)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.975792076734)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0485342911776)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0351250838362)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
124	0.0271100550074	1	0
epoch 125
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0298829880354)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0249306206956)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.975680505056)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.975959893574)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.976364800335)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.976756295845)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
125	0.0254458346778		0
epoch 126
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.977134822331)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0287675327584)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.977510823902)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0245603313741)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0173999258778)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0148416227461)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
126	0.0181174039687	1	0
epoch 127
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.977565135123)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.977830922547)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.978174850416)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.978508240941)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0181247744821)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.978847507829)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
127	0.0185302544197		0
epoch 128
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.979069790292)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.979376064464)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0175507313947)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0122752264094)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.010488006538)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00874345668707)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
128	0.0153670029865	1	0
epoch 129
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00729846251932)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0476398010816)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0187160392097)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0100508730471)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00893476950233)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.979420905741)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
129	0.0159456656858		0
epoch 130
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.979659185647)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0106078774589)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.979967923598)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.980187599)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.980461845796)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0112398059813)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
130	0.0146479343679	1	0
epoch 131
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00764198828655)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.980705647747)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00866734186267)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00574667670185)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.98090520685)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.98111769178)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
131	0.0142563994907		0
epoch 132
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.981366646873)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.981609091957)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00928145851523)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.981861402077)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00838506040272)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.982058426664)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
132	0.013673459973	1	0
epoch 133
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.982237434561)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.982457551427)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.982672268439)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.982881728669)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0106216183134)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00727032136688)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
133	0.0127591333241		0
epoch 134
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.983065410422)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.983226453741)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.98342260431)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.983614211934)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.983801389673)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.983984290496)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
134	0.0138895903915	1	0
epoch 135
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.984163060426)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.012295241082)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00855435033784)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00731393085117)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.120720389224)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0359267214769)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
135	0.0164856690415		0
epoch 136
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.984145320116)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.984213651593)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.984387189416)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.984557027878)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.984723170876)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.984885738454)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
136	0.0202862102356	1	0
epoch 137
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0244827287825)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0176045235007)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0149869072109)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0124995830714)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0104491532216)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.984846304882)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
137	0.0130650247537		0
epoch 138
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0107404731603)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.984974774686)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00944859338651)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00647591510669)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.005548101384)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.98505601363)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
138	0.0113636132879	1	0
epoch 139
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00622309870346)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.98519467913)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00573403742089)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00373455589253)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00322229902345)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00268327499374)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
139	0.0105189463343		0
epoch 140
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0022434124399)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00187479016219)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.985280179528)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.985411911243)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.985560056491)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.985705211635)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
140	0.0105446627057	1	0
epoch 141
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.985847448049)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00530174655222)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00343755023319)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.985983705736)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.986099434142)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.98623387417)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
141	0.0103965537444		0
epoch 142
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.986365733399)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00608297637022)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.986504345469)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0055617573105)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.986615041047)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.986715713902)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
142	0.0101408458938	1	0
epoch 143
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.005696209821)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00375987331588)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.986833485045)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.986934433451)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00511035815287)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.987062021523)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
143	0.00968046484908		0

Success in 144 training rounds!

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