| epoch 0 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.11632374372) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.530650637745) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.267474466632) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.257831677711) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.363726574178) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.023796018141) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.399913161067 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.281982977771) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.586915699867) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.357673171269) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0392038615326) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.526536886391) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.384059859678) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.406989220878 | | 0 |
| epoch 2 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.598411826596) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.181354116885) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.679833452003) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.717367235555) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.523302807068) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.228287267783) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.344559875401 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.721748608931) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.44676877299) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.64042349677) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.738824666731) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.51133727525) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.257306310299) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.342855379526 | | 0 |
| epoch 4 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.745471042341) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.764745285247) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.426732674922) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.28489897962) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.487829792526) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.634197589199) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.330475837391 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.165307837086) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.334385506564) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.230795203938) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.15503238733) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.245382823173) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.103923009409) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.291519379894 | | 0 |
| epoch 6 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.425875844028) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.630524849973) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.058456835856) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.225878692146) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.475632825596) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.631947833086) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.270435402599 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.771361721393) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.805527108528) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.824305140548) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.218194171598) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.108225648597) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.858348373536) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.225830844107 | | 0 |
| epoch 8 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.242094022223) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.151619631944) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.860045739811) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.583192989143) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.248445991929) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0937672970634) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.161546400692 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0587637525062) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.644249750108) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.908955544369) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.161333539287) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.913137674856) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.917989917263) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.100262933228 | | 0 |
| epoch 10 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.117765251963) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0540091868974) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.926340519156) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.928963411432) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.730790164846) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.936194077446) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.114927513318 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.149442739475) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93886126745) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0891807113885) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.943224847803) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.769403686981) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.948446483905) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.0971550050244 | | 0 |
| epoch 12 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.127322352191) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.057163534225) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.788979888083) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954800277464) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.100391899462) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0446824996079) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.202721671954 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.346684508693) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.097843547738) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.951669196972) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0324594451378) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953810424704) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954821687102) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.0393208696086 | | 0 |
| epoch 14 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955713149062) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.956568872299) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957391252009) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.95818223399) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0660707981061) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959795877466) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.0400365757639 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0408482312329) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961337371635) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9621249467) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962747838692) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0418199502995) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0189527673159) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.0264891588679 | | 0 |
| epoch 16 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964284807014) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0182017991979) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965115472873) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965655716745) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0220192321948) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966450696237) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.139109655184 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966973490931) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.322612913107) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964023385758) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962831543436) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0812439075209) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0359168548901) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.348780140965 | | 0 |
| epoch 18 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0215808347719) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0119422066803) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00674284307423) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00378749627567) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00213019775541) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00119768666866) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.0240393793812 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00067344491529) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00037866192133) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966029694794) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966450366313) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966936814626) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0177361807641) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.0236785252016 | | 0 |
| epoch 20 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0086217645425) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967809192196) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0105549028786) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00556947093343) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00318362298906) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00178269309203) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.0222299781962 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00100342319402) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968595587259) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00534629120986) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00335192572578) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969125313646) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969486416142) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.0230195248717 | | 0 |
| epoch 22 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969887815208) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97027869841) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0234387737034) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97090834443) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971320338379) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0224093779733) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.0211905094273 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.010428089301) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972084550883) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0111642234139) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00566850103074) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972640438795) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972934795194) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.0209639070724 | | 0 |
| epoch 24 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973249699467) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973557288518) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973857765474) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974151376752) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0321223255655) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974709244362) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.0229332982188 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0207409926494) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00960191954352) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975398494798) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975653392036) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0145701268933) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976044751222) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.018680131684 | | 0 |
| epoch 26 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976305900116) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0160231714342) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976688402047) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0122877418968) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0059738196904) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00349205572467) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0161922018114 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00194458836712) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00109609444256) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977222276717) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977412726832) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00819953748396) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977716549229) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.016646586245 | | 0 |
| epoch 28 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00817636632666) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978007297657) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978209295875) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978412526397) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0160297095336) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978738244928) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0170967930271 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0119024402679) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00573822510873) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00336227478158) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0018712308336) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979186817419) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00427167778653) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0146730098138 | | 0 |
| epoch 30 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00251584207074) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00139839528931) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000788594447369) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979455780861) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979609795323) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979787495646) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0161395015076 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0109293416763) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00529167661117) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980114104784) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00644648195509) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980334546364) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00680488208524) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.013974751116 | | 0 |
| epoch 32 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.9805561664) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980712527851) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0104509782696) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00505764469653) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981010124988) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00565821341065) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.151315950396 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981208511337) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.20643769286) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0856237846464) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980012270617) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0304360841722) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980611987519) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0189725257859 | | 0 |
| epoch 34 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.018782474086) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00856529518752) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00510002164147) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981118129302) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981261055378) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00941505900747) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0134917959534 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981483208807) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00807504881082) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981697800732) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00736455307647) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981900810569) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00697098350284) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0129069188713 | | 0 |
| epoch 36 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00355311382636) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982133423556) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0049554238077) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00269813988468) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982330895834) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982450181779) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0134155871337 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982581511191) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0106791419624) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00508719107673) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982835972154) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00591335041862) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00307566401724) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0120618488715 | | 0 |
| epoch 38 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98303351295) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0044966660066) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00247356914804) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00139863795995) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000785314601694) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983229298841) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0119705746897 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00296091777457) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983364776354) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983471535869) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00748754668834) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00371455075315) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983676773848) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0119690068066 | | 0 |
| epoch 40 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00484547330743) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00259736696793) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00147853781667) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98385887155) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0033089676371) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983988201204) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.0117028260054 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984088224806) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00743139968415) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984245752467) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00656756908284) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984398255885) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984501423371) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0125782598225 | | 0 |
| epoch 42 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.008909462159) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00427569914591) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984697857476) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984791855685) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984890283721) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0105654357022) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0111395053824 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00495794394452) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985092494229) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985183548934) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985276942514) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0108361239306) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985427796675) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0117102236427 | | 0 |
| epoch 44 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00805207929376) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985575252064) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985667890835) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985755249105) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0117891952371) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00544195491012) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0101943508939 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0032287615861) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985973950267) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986051330259) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00661126591377) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00325565499156) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986199673113) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0101430524988 | | 0 |
| epoch 46 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986274743205) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986354808561) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00910333634001) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986480816415) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986565476712) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986642178662) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0125717097089 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0118188042087) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986773620543) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00829547668992) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00393799026023) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00231760000545) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00128843699421) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.00923464875991 | | 0 |
Success in 48 training rounds!