epoch 0
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.158648504513)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0689757274022)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (-0.184891863227)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.110903408849)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.649652254309)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.478622026707)
#error(trainingdata)error(controldata)slope(error(controldata))
00.52545050255410
epoch 1
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.661549468072)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (-0.152147984995)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.439505801446)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.67910525583)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.114775245222)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.42941928917)
#error(trainingdata)error(controldata)slope(error(controldata))
10.3360119854390
epoch 2
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.665795200147)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.40761676905)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.71174439691)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.326678943016)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.715858245249)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.764299747394)
#error(trainingdata)error(controldata)slope(error(controldata))
20.19222943546710
epoch 3
Training set 0input = (208, 0, 49, 1)desired = (0)output = (-0.0642532323071)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (-0.0586827117051)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.814888421805)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (-0.0350675168934)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.0340782646151)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.37882744166)
#error(trainingdata)error(controldata)slope(error(controldata))
30.1729844508240
epoch 4
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.804437009274)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.822710330665)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (-0.0486514266544)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (-0.0437338738694)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.850624039069)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.866683385584)
#error(trainingdata)error(controldata)slope(error(controldata))
40.18052241101410
epoch 5
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.389383407098)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.849406033147)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (-0.305167745746)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.272440622344)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.145803654757)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.792146359476)
#error(trainingdata)error(controldata)slope(error(controldata))
50.1638083159580
epoch 6
Training set 0input = (208, 0, 49, 1)desired = (0)output = (-0.0196727435634)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.242844808849)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.112879118581)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (-0.527361454814)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0420640298765)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.719188505499)
#error(trainingdata)error(controldata)slope(error(controldata))
60.16141648036210
epoch 7
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.775933070681)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.815981816455)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.842444669868)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0320968325757)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0171158391524)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.195424210501)
#error(trainingdata)error(controldata)slope(error(controldata))
70.1180460298480
epoch 8
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.842399367854)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.855387895777)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.871201525396)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0178382489164)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.134378098671)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.205395041314)
#error(trainingdata)error(controldata)slope(error(controldata))
80.24533732236810
epoch 9
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.858313368428)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.868094267015)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.881146596378)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0250639776594)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0138001473638)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.202847532267)
#error(trainingdata)error(controldata)slope(error(controldata))
90.4329302525670
epoch 10
Training set 0input = (208, 0, 49, 1)desired = (0)output = (-0.599509972126)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.832558361714)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.860913427727)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.875693649253)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.887298922814)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.896764195931)
#error(trainingdata)error(controldata)slope(error(controldata))
100.08923932534610
epoch 11
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0826857096774)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.905090925908)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0721847410669)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.049928264297)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.909141822704)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.913930731823)
#error(trainingdata)error(controldata)slope(error(controldata))
110.2360071619420
epoch 12
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0584433151841)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.919671435371)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (-0.685232093612)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.87967791833)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.10329862751)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0721453403695)
#error(trainingdata)error(controldata)slope(error(controldata))
120.095279801085610
epoch 13
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0617082379266)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0514996299781)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.877272124654)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (-0.0269262209603)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0549491058413)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.885829178527)
#error(trainingdata)error(controldata)slope(error(controldata))
130.08350759950590
epoch 14
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.893659135432)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.902030760529)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.90911317612)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.915179850361)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0744530497798)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0520604907899)
#error(trainingdata)error(controldata)slope(error(controldata))
140.076838548444710
epoch 15
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0444196964061)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.918861860952)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0470996900711)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.922973518046)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.926324672401)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.9302587575)
#error(trainingdata)error(controldata)slope(error(controldata))
150.08278239951040
epoch 16
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.933779909597)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (-0.160130473041)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0587978058082)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0560596586415)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.046243289455)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0387300385829)
#error(trainingdata)error(controldata)slope(error(controldata))
160.071172917242810
epoch 17
Training set 0input = (248, 80, 68, 1)desired = (0)output = (-0.116395247086)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0423446360327)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.925157069571)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.050231368711)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.0823012069429)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.925975532314)
#error(trainingdata)error(controldata)slope(error(controldata))
170.0641655670050
epoch 18
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0560780597996)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0388056458522)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.928162607547)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.931115429413)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.00858358031664)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0443160199826)
#error(trainingdata)error(controldata)slope(error(controldata))
180.0603836698610
epoch 19
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.934688912137)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.937028089851)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.939881661915)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.94248085311)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0497076092482)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.944975310279)
#error(trainingdata)error(controldata)slope(error(controldata))
190.06631792015590
epoch 20
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.946516929306)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0455757165377)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.948665749199)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0396443600973)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0275039800905)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (-0.152486861735)
#error(trainingdata)error(controldata)slope(error(controldata))
200.055601077931310
epoch 21
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.946828957714)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0509031562522)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.94753985702)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.948909311296)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.95077229927)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0485426855064)
#error(trainingdata)error(controldata)slope(error(controldata))
210.06213129825290
epoch 22
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0341947697692)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.952153340198)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (-0.123367915381)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.041360855967)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.950496565057)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0476681918267)
#error(trainingdata)error(controldata)slope(error(controldata))
220.052827906689310
epoch 23
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.951840792607)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.952982193174)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.954555653425)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (-0.0663173724732)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.955390388295)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.956414673169)
#error(trainingdata)error(controldata)slope(error(controldata))
230.1878265603560
epoch 24
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.446504788465)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.944676121971)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (-0.702270591945)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.10586291118)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.92932291935)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0577278076753)
#error(trainingdata)error(controldata)slope(error(controldata))
240.24927356913510
epoch 25
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.931673654583)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.934126352857)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.937254358292)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0561782821516)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.039341233991)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.939615958024)
#error(trainingdata)error(controldata)slope(error(controldata))
250.257553745210
epoch 26
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.941620809905)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (-0.624228602684)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.917422211803)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.00694709982858)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.898294764673)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0494428864104)
#error(trainingdata)error(controldata)slope(error(controldata))
260.07063967015310
epoch 27
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0326763735263)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.904764926523)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.039028497062)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.910810156838)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0360303298943)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0232653360588)
#error(trainingdata)error(controldata)slope(error(controldata))
270.06145691467430
epoch 28
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.91544290258)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0292024478787)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.920258670069)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.92408332018)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.928267987005)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0341004383944)
#error(trainingdata)error(controldata)slope(error(controldata))
280.050488209991610
epoch 29
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.932260533649)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0309566064295)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.93514064941)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.937572479088)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0310539445268)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0206919581322)
#error(trainingdata)error(controldata)slope(error(controldata))
290.04409352948340
epoch 30
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0177973476261)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0148269434952)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (-0.516841714818)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.101257380529)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0435111021547)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0402434489008)
#error(trainingdata)error(controldata)slope(error(controldata))
300.058642779096410
epoch 31
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0332808367411)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.9234682718)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0369907417377)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.927224791993)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0335961295034)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0221545769276)
#error(trainingdata)error(controldata)slope(error(controldata))
310.05120971810970
epoch 32
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.930137974126)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0267124075204)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0171715724519)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0148443458408)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.932817622534)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.935603515631)
#error(trainingdata)error(controldata)slope(error(controldata))
320.04613002179910
epoch 33
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0220233084664)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.938822854904)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.941045272122)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0233618134812)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.943726414803)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.945573288393)
#error(trainingdata)error(controldata)slope(error(controldata))
330.04070293277760
epoch 34
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0240306638991)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.015805464112)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0136188874874)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.947461598251)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0167287853638)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0104717226382)
#error(trainingdata)error(controldata)slope(error(controldata))
340.19747172942510
epoch 35
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.949134206412)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0140747553535)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.950868332274)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.013695859537)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.952454637196)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (-0.489735042982)
#error(trainingdata)error(controldata)slope(error(controldata))
350.3856806664010
epoch 36
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0968301943261)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0410669530044)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0380864464307)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.942340039064)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0392709942064)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.944302831951)
#error(trainingdata)error(controldata)slope(error(controldata))
360.045396076916310
epoch 37
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.034684440788)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0236525644578)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.945775557337)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0266134374007)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.947625672931)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0241348085377)
#error(trainingdata)error(controldata)slope(error(controldata))
370.03757023861330
epoch 38
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.949322371583)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.950789510705)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.95251645333)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.954123695769)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0282658929136)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.95571648255)
#error(trainingdata)error(controldata)slope(error(controldata))
380.035343730003810
epoch 39
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.95678207422)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0270061217368)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.958191177436)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.959136666157)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0257548665046)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0176068698186)
#error(trainingdata)error(controldata)slope(error(controldata))
390.03009360450860
epoch 40
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0150901998882)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.96007273915)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.960998886568)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0186891550302)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0124435522699)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0107035734255)
#error(trainingdata)error(controldata)slope(error(controldata))
400.027646860321410
epoch 41
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.961931712394)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0128198842296)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.962873948668)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.963679733677)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.964612226263)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0152396219162)
#error(trainingdata)error(controldata)slope(error(controldata))
410.02536238351970
epoch 42
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.965561630352)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.966235667292)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.967040053908)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0168768293148)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.96785883641)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.96843158074)
#error(trainingdata)error(controldata)slope(error(controldata))
420.024780617731410
epoch 43
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0165959490902)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (-0.488167051155)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.959955376249)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0699331851454)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.951805054955)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.948915312508)
#error(trainingdata)error(controldata)slope(error(controldata))
430.2670966576250
epoch 44
Training set 0input = (208, 0, 49, 1)desired = (0)output = (-0.458078008769)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0206777925301)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.9363699828)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0521204587989)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.938955408194)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0454849905063)
#error(trainingdata)error(controldata)slope(error(controldata))
440.047249637254910
epoch 45
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0314571561211)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.94055718295)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.942562980975)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0368864392208)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0252171985075)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.944704883686)
#error(trainingdata)error(controldata)slope(error(controldata))
450.09301085139260
epoch 46
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0281671564457)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.018836340808)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (-0.365202743972)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.939804434929)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.939197842107)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.911769150401)
#error(trainingdata)error(controldata)slope(error(controldata))
460.18482012405510
epoch 47
Training set 0input = (248, 80, 68, 1)desired = (0)output = (-0.304203772479)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0236839620241)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.902006423748)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.90803230579)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0543161913458)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.914642214589)
#error(trainingdata)error(controldata)slope(error(controldata))
470.06685701219340
epoch 48
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.918757789095)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0520332172243)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.923864642991)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.927071909344)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.93092431676)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0523967537311)
#error(trainingdata)error(controldata)slope(error(controldata))
480.10907697961810
epoch 49
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0362700947503)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.933946996733)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0394371378606)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.936629436462)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.938861209799)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.941547954022)
#error(trainingdata)error(controldata)slope(error(controldata))
490.1094700103080
epoch 50
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0404610914647)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0278297562254)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.94373466918)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (-0.283500333202)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.878426636044)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (-0.237369822485)
#error(trainingdata)error(controldata)slope(error(controldata))
500.084053948379610
epoch 51
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0170187281175)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.897715085326)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.904411272731)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0452074004536)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.911607592269)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.916173768181)
#error(trainingdata)error(controldata)slope(error(controldata))
510.08535466474840
epoch 52
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.921301144614)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0482890278587)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.926098948219)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (-0.170509699924)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.925347138498)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.927148413112)
#error(trainingdata)error(controldata)slope(error(controldata))
520.070180870790110
epoch 53
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.930984774396)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0566368712746)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0598534959929)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.934149048478)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0582232976777)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.936537752232)
#error(trainingdata)error(controldata)slope(error(controldata))
530.08268927018810
epoch 54
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.938599366334)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.941308768815)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0559466634381)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.943896846754)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.185063368983)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (-0.0617835621182)
#error(trainingdata)error(controldata)slope(error(controldata))
540.38865406660810
epoch 55
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0787053511014)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.939277151319)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.940951232809)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0742388165696)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.943528036514)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.063479299691)
#error(trainingdata)error(controldata)slope(error(controldata))
550.07112218605720
epoch 56
Training set 0input = (248, 80, 68, 1)desired = (0)output = (-0.131278601286)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0577975199031)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0531579353392)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.939973643141)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.0825613179013)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0559142848609)
#error(trainingdata)error(controldata)slope(error(controldata))
560.054489787038210
epoch 57
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.939503171514)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.941366700572)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.593388408105)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.923543728802)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.00489766273607)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.000745654025484)
#error(trainingdata)error(controldata)slope(error(controldata))
570.05459099597480
epoch 58
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.92280243964)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.926691422545)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.93058872394)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.934075865382)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0168062328266)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.00999483723278)
#error(trainingdata)error(controldata)slope(error(controldata))
580.044776579035810
epoch 59
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00874066831067)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.93716401227)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.939641683455)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.015859214559)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0095182071891)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.942310042925)
#error(trainingdata)error(controldata)slope(error(controldata))
590.04052770177830
epoch 60
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0138277178732)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.944576510332)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0137787407619)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.946625200908)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.948350153476)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.950256088042)
#error(trainingdata)error(controldata)slope(error(controldata))
600.036258706645310
epoch 61
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.952022795124)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0201953101108)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.953784331816)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0185748712729)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0120841512978)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.010428418022)
#error(trainingdata)error(controldata)slope(error(controldata))
610.03249662698270
epoch 62
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.954870759214)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0131688401171)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.95622117876)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0127109920535)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.00783617985668)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.957372705964)
#error(trainingdata)error(controldata)slope(error(controldata))
620.030346872873710
epoch 63
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.958484558088)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0126915637209)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.00790801765934)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0068672801121)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.9596511566)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.960649049372)
#error(trainingdata)error(controldata)slope(error(controldata))
630.02818920668890
epoch 64
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0112205802134)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.00690110882798)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.961756817601)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.962649590064)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.963636540447)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.964571748196)
#error(trainingdata)error(controldata)slope(error(controldata))
640.026449499663810
epoch 65
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.965458879927)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.966301606184)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0173070524386)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0116185212221)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.00998245423693)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.00831677083062)
#error(trainingdata)error(controldata)slope(error(controldata))
650.0239040865780
epoch 66
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0069531564447)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.00581076547057)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.966821077426)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.00795793431301)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.00431768959452)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0042312949295)
#error(trainingdata)error(controldata)slope(error(controldata))
660.22598095078410
epoch 67
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.967482529885)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.968133447975)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.968849123224)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.00912173882972)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.969587710083)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.970131905353)
#error(trainingdata)error(controldata)slope(error(controldata))
670.02187060577220
epoch 68
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0100822201448)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.970808527942)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.971303410511)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.971882424015)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.972438288732)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.97297217931)
#error(trainingdata)error(controldata)slope(error(controldata))
680.021309725596710
epoch 69
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.973485389064)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.973979111283)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0165828533867)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.974483573706)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.974829663603)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0157800190523)
#error(trainingdata)error(controldata)slope(error(controldata))
690.2403416080490
epoch 70
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.97530143742)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.975626471095)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0150505061488)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.976068811124)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.594948714059)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.968536692412)
#error(trainingdata)error(controldata)slope(error(controldata))
700.39928366930810
epoch 71
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.971104810854)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0753804082534)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.971669114622)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.971846950062)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0643912585134)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.972387341327)
#error(trainingdata)error(controldata)slope(error(controldata))
710.2519266886860
epoch 72
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.054074527319)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.972588462801)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.972834262385)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0467605277895)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.033699722373)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0286853065127)
#error(trainingdata)error(controldata)slope(error(controldata))
720.025539198958310
epoch 73
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.972946695493)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.973289637267)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.973790411563)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0306304118414)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.974288176989)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0262302469495)
#error(trainingdata)error(controldata)slope(error(controldata))
730.02222662773420
epoch 74
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.018520857501)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.97447865081)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.974817186625)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.975261910398)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.975691137405)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.976105470504)
#error(trainingdata)error(controldata)slope(error(controldata))
740.023500266649710
epoch 75
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.976505679784)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.976892483079)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.977266550015)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.977628506008)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.977978935881)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.97831838712)
#error(trainingdata)error(controldata)slope(error(controldata))
750.02564024957770
epoch 76
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.978647372825)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.978966374383)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0311204698796)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.979280263212)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.979450063641)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.979745167251)
#error(trainingdata)error(controldata)slope(error(controldata))
760.024412631689210
epoch 77
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0281643641906)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.980037471744)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.980200569868)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.980474377525)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.980740770626)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0264629615789)
#error(trainingdata)error(controldata)slope(error(controldata))
770.0189600498750
epoch 78
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.018925098482)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.980910989144)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.981083891446)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0199317375243)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.981343140302)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.981504009418)
#error(trainingdata)error(controldata)slope(error(controldata))
780.018097385271610
epoch 79
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0179361066862)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.981752906218)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.981911166267)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0162633001308)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.982150060661)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0140989179883)
#error(trainingdata)error(controldata)slope(error(controldata))
790.3158992585730
epoch 80
Training set 0input = (248, 80, 68, 1)desired = (0)output = (-0.773060900526)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.971413928084)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.943141877035)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0178015417424)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0110958057634)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.941488549723)
#error(trainingdata)error(controldata)slope(error(controldata))
800.041328338457210
epoch 81
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.943604626485)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0178427109639)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.946063664217)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.947794000623)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.949741809909)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.95154588582)
#error(trainingdata)error(controldata)slope(error(controldata))
810.03705243806540
epoch 82
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.953220651655)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.954779808248)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.956235164185)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.957596950673)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.958874079081)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0331611725224)
#error(trainingdata)error(controldata)slope(error(controldata))
820.032573145605510
epoch 83
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0230867976614)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0197389460185)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.959717149745)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.960632307044)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0229872067653)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.96180086582)
#error(trainingdata)error(controldata)slope(error(controldata))
830.03016249251440
epoch 84
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0205081571155)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.962666860458)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.963438118913)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0200381597964)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.964445831566)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.965141398142)
#error(trainingdata)error(controldata)slope(error(controldata))
840.027711158949810
epoch 85
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0194877710026)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.966055785564)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0174484567243)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.966742692532)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.967356616681)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.968107857902)
#error(trainingdata)error(controldata)slope(error(controldata))
850.02565014184360
epoch 86
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0185465368519)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0126031963117)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.968764610208)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0142931659463)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.969372577535)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.969900390982)
#error(trainingdata)error(controldata)slope(error(controldata))
860.023172271253310
epoch 87
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.970537996347)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0156191174696)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.971189944596)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.971646497566)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0152745350194)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0103105833763)
#error(trainingdata)error(controldata)slope(error(controldata))
870.02064955341410
epoch 88
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00885192858824)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.972115996811)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.972570416237)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.97309896396)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.973607323356)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0137580830367)
#error(trainingdata)error(controldata)slope(error(controldata))
880.019429563301810
epoch 89
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.974129573481)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.974497761238)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0134928014141)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.974984662528)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.975327896297)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0132011895031)
#error(trainingdata)error(controldata)slope(error(controldata))
890.01824600722660
epoch 90
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00890955600679)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.975724081881)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0102655477494)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.976093223998)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.976416182184)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.976805830242)
#error(trainingdata)error(controldata)slope(error(controldata))
900.018053361319710
epoch 91
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.977182731356)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0124333613808)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00840807984307)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.977519938411)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.977809505963)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.978154139979)
#error(trainingdata)error(controldata)slope(error(controldata))
910.01726049038220
epoch 92
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0115364741308)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.978510627358)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (-0.0633992218013)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0257242876112)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.97891596125)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0176947650083)
#error(trainingdata)error(controldata)slope(error(controldata))
920.0171548954410
epoch 93
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0123654218544)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.979058331504)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0131890906496)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.00903477544938)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.979262729918)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.979504619664)
#error(trainingdata)error(controldata)slope(error(controldata))
930.01625175016140
epoch 94
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.979798251765)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0118244826819)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00805109796789)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0069038388176)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.00575301858473)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.980000847297)
#error(trainingdata)error(controldata)slope(error(controldata))
940.014786484775810
epoch 95
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.980234943658)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0076750071898)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.00499548381829)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.980500823199)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.00622848465257)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.980746138457)
#error(trainingdata)error(controldata)slope(error(controldata))
950.01410082712370
epoch 96
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00593122392803)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.980981532971)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00567735074279)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.981211955258)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.98141754787)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.981658607005)
#error(trainingdata)error(controldata)slope(error(controldata))
960.013736419948410
epoch 97
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.981893464065)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.982122305959)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.00857436374509)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0057281891273)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.00492483032904)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.982313433244)
#error(trainingdata)error(controldata)slope(error(controldata))
970.2187605022530
epoch 98
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00586994448144)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.982513722221)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.982690010142)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.00630044679893)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.00406541419783)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.982895117587)
#error(trainingdata)error(controldata)slope(error(controldata))
980.22607643415110
epoch 99
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00516466134673)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.00323213436969)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00280495399835)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.983057971223)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.983231049131)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.983427105683)
#error(trainingdata)error(controldata)slope(error(controldata))
990.2280922332570
epoch 100
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00529572579757)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.983633713999)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.983788505124)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.983971662061)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.00641537593153)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (-0.563534802775)
#error(trainingdata)error(controldata)slope(error(controldata))
1000.40378246362910
epoch 101
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0960675247812)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.980276757791)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.980225941812)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0482580208594)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0350786563768)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0298266334249)
#error(trainingdata)error(controldata)slope(error(controldata))
1010.2490247189930
epoch 102
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.980178327084)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.612402653678)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (-0.0663610678479)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.971044183908)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (-0.0178807955046)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.971946671167)
#error(trainingdata)error(controldata)slope(error(controldata))
1020.19037471228110
epoch 103
Training set 0input = (248, 80, 68, 1)desired = (0)output = (-0.463494825848)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.964712901878)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.967490304667)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.96824037707)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0437627033413)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.968966466437)
#error(trainingdata)error(controldata)slope(error(controldata))
1030.03410208936280
epoch 104
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.969367968959)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0385809576162)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.027499150457)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.969831357804)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.970280549231)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0293093481917)
#error(trainingdata)error(controldata)slope(error(controldata))
1040.025217716343110
epoch 105
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.970928140992)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0252932132618)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.971361145437)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.02198529318)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.015269477153)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0130587567029)
#error(trainingdata)error(controldata)slope(error(controldata))
1050.02150488023490
epoch 106
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0108856446769)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.00910041358245)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.971472517961)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.971948209608)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.972501250622)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0129797213663)
#error(trainingdata)error(controldata)slope(error(controldata))
1060.01999901156710
epoch 107
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00864296451874)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.00743424265006)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00619288968941)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.00517753957021)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.00432684680587)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.00361609100036)
#error(trainingdata)error(controldata)slope(error(controldata))
1070.01932262449460
epoch 108
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.00302206745969)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.972822559935)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.973277644337)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.00605993560318)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.973821159222)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.974230296776)
#error(trainingdata)error(controldata)slope(error(controldata))
1080.018603366212410
epoch 109
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.974696280763)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.00829081521883)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00525217417955)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.975143052899)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.975513473688)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.975933826977)
#error(trainingdata)error(controldata)slope(error(controldata))
1090.01790168855880
epoch 110
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.00900769294396)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.976370625019)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.97669025045)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.977070828083)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0103848929055)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.977465397339)
#error(trainingdata)error(controldata)slope(error(controldata))
1100.01710223742610
epoch 111
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0094809459078)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.977775615654)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.00872874843537)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.978080444469)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.00809842206375)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (-0.417093345054)
#error(trainingdata)error(controldata)slope(error(controldata))
1110.4004162112020
epoch 112
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.972577323164)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (-0.0214379173077)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0181875871757)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.948709379545)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0173885591846)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0110090319159)
#error(trainingdata)error(controldata)slope(error(controldata))
1120.03581785946210
epoch 113
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.950251959585)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.951760160226)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0165894166954)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.953547117205)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0156274038559)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.954934447226)
#error(trainingdata)error(controldata)slope(error(controldata))
1130.03273630788720
epoch 114
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.956128995087)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0167093302898)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0107927174465)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.00932345993596)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.00776300210809)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.957307986429)
#error(trainingdata)error(controldata)slope(error(controldata))
1140.030331004840110
epoch 115
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.958423824459)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.959650336371)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.960805086315)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0158250913896)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.961974494189)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.962804696832)
#error(trainingdata)error(controldata)slope(error(controldata))
1150.02806746836420
epoch 116
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.963783214295)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0178145770104)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0119004799786)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.964659885027)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.96539058168)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0155046951604)
#error(trainingdata)error(controldata)slope(error(controldata))
1160.024909434421810
epoch 117
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.966296986183)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.0141703930251)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.966998056755)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.967618463714)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.968357604649)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.96906335533)
#error(trainingdata)error(controldata)slope(error(controldata))
1170.02459862826520
epoch 118
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.969737634578)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.018462489274)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.970423071231)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.0164147349019)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0111099422125)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0095347069622)
#error(trainingdata)error(controldata)slope(error(controldata))
1180.02140897658810
epoch 119
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.00794471598126)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.00664199690015)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.00555073171976)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.00463894597984)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.970618418284)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.971144920728)
#error(trainingdata)error(controldata)slope(error(controldata))
1190.02073959637430
epoch 120
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.97173046604)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.972292416755)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.972832030268)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.973350628554)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.973849430684)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.974329562411)
#error(trainingdata)error(controldata)slope(error(controldata))
1200.020658766806510
epoch 121
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.97479206499)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0158519926449)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0108525632901)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.00929922796268)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.97514106591)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.975495882907)
#error(trainingdata)error(controldata)slope(error(controldata))
1210.01887119222050
epoch 122
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0114997446754)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0076561845459)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.975895463232)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.976233967652)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0101101274754)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.00665428310881)
#error(trainingdata)error(controldata)slope(error(controldata))
1220.1351158196710
epoch 123
Training set 0input = (248, 80, 68, 1)desired = (0)output = (-0.328376940318)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.971461841729)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0498360781746)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.973254693226)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.973500450215)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.973993107649)
#error(trainingdata)error(controldata)slope(error(controldata))
1230.03613788134430
epoch 124
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.974467927792)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.974925412262)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.975366503396)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.975792076734)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.0485342911776)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0351250838362)
#error(trainingdata)error(controldata)slope(error(controldata))
1240.027110055007410
epoch 125
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.0298829880354)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0249306206956)
Training set 2input = (128, 80, 255, 1)desired = (1)output = (0.975680505056)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.975959893574)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.976364800335)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.976756295845)
#error(trainingdata)error(controldata)slope(error(controldata))
1250.02544583467780
epoch 126
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.977134822331)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0287675327584)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.977510823902)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0245603313741)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0173999258778)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.0148416227461)
#error(trainingdata)error(controldata)slope(error(controldata))
1260.018117403968710
epoch 127
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.977565135123)
Training set 1input = (0, 0, 255, 1)desired = (1)output = (0.977830922547)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.978174850416)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.978508240941)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0181247744821)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.978847507829)
#error(trainingdata)error(controldata)slope(error(controldata))
1270.01853025441970
epoch 128
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.979069790292)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.979376064464)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.0175507313947)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0122752264094)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.010488006538)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.00874345668707)
#error(trainingdata)error(controldata)slope(error(controldata))
1280.015367002986510
epoch 129
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.00729846251932)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (-0.0476398010816)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.0187160392097)
Training set 3input = (228, 105, 116, 1)desired = (0)output = (0.0100508730471)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.00893476950233)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.979420905741)
#error(trainingdata)error(controldata)slope(error(controldata))
1290.01594566568580
epoch 130
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.979659185647)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.0106078774589)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.979967923598)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.980187599)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.980461845796)
Training set 5input = (208, 0, 49, 1)desired = (0)output = (0.0112398059813)
#error(trainingdata)error(controldata)slope(error(controldata))
1300.014647934367910
epoch 131
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.00764198828655)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.980705647747)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00866734186267)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.00574667670185)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.98090520685)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.98111769178)
#error(trainingdata)error(controldata)slope(error(controldata))
1310.01425639949070
epoch 132
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.981366646873)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.981609091957)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00928145851523)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.981861402077)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.00838506040272)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.982058426664)
#error(trainingdata)error(controldata)slope(error(controldata))
1320.01367345997310
epoch 133
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.982237434561)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.982457551427)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.982672268439)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.982881728669)
Training set 4input = (208, 0, 49, 1)desired = (0)output = (0.0106216183134)
Training set 5input = (248, 80, 68, 1)desired = (0)output = (0.00727032136688)
#error(trainingdata)error(controldata)slope(error(controldata))
1330.01275913332410
epoch 134
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.983065410422)
Training set 1input = (0, 0, 192, 1)desired = (1)output = (0.983226453741)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.98342260431)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.983614211934)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.983801389673)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.983984290496)
#error(trainingdata)error(controldata)slope(error(controldata))
1340.013889590391510
epoch 135
Training set 0input = (0, 0, 192, 1)desired = (1)output = (0.984163060426)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.012295241082)
Training set 2input = (228, 105, 116, 1)desired = (0)output = (0.00855435033784)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.00731393085117)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (-0.120720389224)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.0359267214769)
#error(trainingdata)error(controldata)slope(error(controldata))
1350.01648566904150
epoch 136
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.984145320116)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.984213651593)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.984387189416)
Training set 3input = (128, 80, 255, 1)desired = (1)output = (0.984557027878)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.984723170876)
Training set 5input = (0, 0, 192, 1)desired = (1)output = (0.984885738454)
#error(trainingdata)error(controldata)slope(error(controldata))
1360.020286210235610
epoch 137
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0244827287825)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.0176045235007)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.0149869072109)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0124995830714)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.0104491532216)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.984846304882)
#error(trainingdata)error(controldata)slope(error(controldata))
1370.01306502475370
epoch 138
Training set 0input = (248, 80, 68, 1)desired = (0)output = (0.0107404731603)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.984974774686)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00944859338651)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.00647591510669)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.005548101384)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.98505601363)
#error(trainingdata)error(controldata)slope(error(controldata))
1380.011363613287910
epoch 139
Training set 0input = (228, 105, 116, 1)desired = (0)output = (0.00622309870346)
Training set 1input = (128, 80, 255, 1)desired = (1)output = (0.98519467913)
Training set 2input = (208, 0, 49, 1)desired = (0)output = (0.00573403742089)
Training set 3input = (208, 0, 49, 1)desired = (0)output = (0.00373455589253)
Training set 4input = (228, 105, 116, 1)desired = (0)output = (0.00322229902345)
Training set 5input = (228, 105, 116, 1)desired = (0)output = (0.00268327499374)
#error(trainingdata)error(controldata)slope(error(controldata))
1390.01051894633430
epoch 140
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.0022434124399)
Training set 1input = (208, 0, 49, 1)desired = (0)output = (0.00187479016219)
Training set 2input = (0, 0, 255, 1)desired = (1)output = (0.985280179528)
Training set 3input = (0, 0, 192, 1)desired = (1)output = (0.985411911243)
Training set 4input = (0, 0, 192, 1)desired = (1)output = (0.985560056491)
Training set 5input = (128, 80, 255, 1)desired = (1)output = (0.985705211635)
#error(trainingdata)error(controldata)slope(error(controldata))
1400.010544662705710
epoch 141
Training set 0input = (128, 80, 255, 1)desired = (1)output = (0.985847448049)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.00530174655222)
Training set 2input = (248, 80, 68, 1)desired = (0)output = (0.00343755023319)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.985983705736)
Training set 4input = (128, 80, 255, 1)desired = (1)output = (0.986099434142)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.98623387417)
#error(trainingdata)error(controldata)slope(error(controldata))
1410.01039655374440
epoch 142
Training set 0input = (0, 0, 255, 1)desired = (1)output = (0.986365733399)
Training set 1input = (228, 105, 116, 1)desired = (0)output = (0.00608297637022)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.986504345469)
Training set 3input = (248, 80, 68, 1)desired = (0)output = (0.0055617573105)
Training set 4input = (0, 0, 255, 1)desired = (1)output = (0.986615041047)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.986715713902)
#error(trainingdata)error(controldata)slope(error(controldata))
1420.010140845893810
epoch 143
Training set 0input = (208, 0, 49, 1)desired = (0)output = (0.005696209821)
Training set 1input = (248, 80, 68, 1)desired = (0)output = (0.00375987331588)
Training set 2input = (0, 0, 192, 1)desired = (1)output = (0.986833485045)
Training set 3input = (0, 0, 255, 1)desired = (1)output = (0.986934433451)
Training set 4input = (248, 80, 68, 1)desired = (0)output = (0.00511035815287)
Training set 5input = (0, 0, 255, 1)desired = (1)output = (0.987062021523)
#error(trainingdata)error(controldata)slope(error(controldata))
1430.009680464849080
Success in 144 training rounds!