| epoch 0 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.17032368472) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.11785485225) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0709480996109) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (-0.0678423174195) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.660172501765) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.750072303233) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.574676452869 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.783289649444) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.705283947562) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.575095155889) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.140890681815) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.380944251032) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.548166699767) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.425795686195 | | 0 |
| epoch 2 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.392888198674) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.151492656925) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.315493951392) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.295082724628) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.257877563438) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.187068483237) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.329896278649 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.556476936528) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.202311020966) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.279260766539) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.023997756871) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.153785928657) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.230994258355) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.317887266046 | | 0 |
| epoch 4 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.557208920746) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.225019529188) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.642923071457) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.235853470831) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.693045051537) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.725165544466) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.392312273836 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.763776703766) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.792048937931) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.716317472314) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.734476689959) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.26944977383) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.358229848099) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.247404898945 | | 0 |
| epoch 6 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.739378774209) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.251215930133) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.168570069386) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.744166622422) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.766266959617) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.79352574003) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.27955814755 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.814651433486) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.831413103456) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.845104837819) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.359006754231) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.853185996159) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.479820148792) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.239166927194 | | 0 |
| epoch 8 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.285562605525) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.210497332941) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.292692965974) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.803382521089) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.811880004215) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.390440896918) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.219130045097 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.825181315275) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.274144052928) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.328938534968) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.80379454688) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.211617927809) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0276044964624) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.232618651386 | | 0 |
| epoch 10 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.803336593771) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.326320054407) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.158148190344) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.229589326666) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.129171452251) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.236044858924) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.198018317667 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.742242615343) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.141217016123) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.757495538399) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.777660118444) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.264664958991) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.800525303923) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.168381126368 | | 0 |
| epoch 12 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.149078574655) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.803988072247) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.815724972864) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.302436359751) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.201399758977) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.818667809983) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.195516880104 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.827077730556) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.244016845495) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.831175713073) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.127670319661) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.832481607079) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0493744610323) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.186792550189 | | 0 |
| epoch 14 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0564267038373) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.73542426917) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.763045121328) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.181229340692) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0738232172515) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.119394839919) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.168982404808 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0910471556751) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.765540462964) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0582448542673) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0615737325079) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0425637285686) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.113817332888) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.165120005485 | | 0 |
| epoch 16 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0636382854391) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0281084262712) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.108414259885) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.758400416629) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0737705714863) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.054443232282) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.166824804581 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.778533971588) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.10473387666) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0983989353826) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.788779569598) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.804321465992) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.822986838162) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.149677687144 | | 0 |
| epoch 18 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.863460749826) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0909413379242) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.211025113661) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.870544939265) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.883082127279) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.889215116749) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.131571228063 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.894753640548) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.124346329199) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.231771052704) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.848978205806) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.894719159341) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.899335769548) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.367453986152 | | 0 |
| epoch 20 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.131600188411) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.865025884173) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.203984303818) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.128157047771) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.873820455298) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0980921976324) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.121463451611 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0524543830549) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.876922147375) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.789060106417) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.710865066158) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.730218570231) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0721589875798) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.119423040352 | | 0 |
| epoch 22 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0289266731266) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.035145361594) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00130426528457) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00356461930968) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.872367654026) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00038537590612) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.111712729378 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0049469632927) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.879948849354) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00370732722963) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.886754782615) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00778912551422) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0566720704486) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.343391268855 | | 0 |
| epoch 24 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.801952290397) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.894551173118) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.8987028697) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.043528825124) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.905287962421) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0699453409836) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.349972724412 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.910412046582) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.915488446953) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.91865225321) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0479750229392) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.922131405096) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0189290408193) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.354620659164 | | 0 |
| epoch 26 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.924455909157) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.861128735975) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.805642156297) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.921641009478) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.115863177681) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.820007233953) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0604893770536 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0569814105108) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.016262374624) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.833714581862) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.90170404619) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.198051078738) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.900716363164) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.15668042659 | | 0 |
| epoch 28 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.908567098044) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0992965538032) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.14258242573) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00614966904009) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.902058960489) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0133010790773) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.321410601196 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.770562695234) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.88779105935) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.276956465038) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.893510786683) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.895472366398) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.900415535232) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0928603250224 | | 0 |
| epoch 30 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9048622902) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.908910755983) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.912613311842) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.916013598989) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0399151632507) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.916509218325) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.318707516066 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.920604230654) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.775114894434) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.269236178379) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.203706266996) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.898306040774) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00398741554416) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0785437189453 | | 0 |
| epoch 32 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.900320749629) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.905460192017) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.909450770181) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.01074560638) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0728660824075) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.911289668357) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.316011116455 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.757494167895) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.199045903574) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.897860760044) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.900469784523) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.904930501131) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.130369075986) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0734867756947 | | 0 |
| epoch 34 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00213852707301) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0637330008743) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.901725194619) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.720413027683) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.619994636491) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.904410029068) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0929414842866 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.905434920065) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.909459201358) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.913115930357) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0959262316257) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0366996934787) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0371905477178) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.303103127944 | | 0 |
| epoch 36 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.726688075114) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.894827771059) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.235321463818) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.141181068837) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00919879597341) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0530345517914) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0811982353481 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.88915993194) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.894791380305) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0330441138233) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.901111903943) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.905750845519) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.909719855666) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.298767117926 | | 0 |
| epoch 38 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.913355228819) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.724992742487) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.898895153547) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.204899550412) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.905017882809) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.906972421275) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0889355841094 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.910855719252) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.914397684574) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0554573576858) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.914101694448) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0254188656032) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00741198969542) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0718328984411 | | 0 |
| epoch 40 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.916660847156) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.920345570019) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0669506538805) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.921308388739) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.923724165368) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.926299648789) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.301141000222 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0321197538142) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.92979274313) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.931997766059) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0213249652343) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.934631851496) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.936607104017) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.312108373717 | | 0 |
| epoch 42 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.938369904896) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.940034642625) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.941608981535) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0195902922553) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943597518669) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0113563774002) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.321026104533 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00691093031592) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.781277609877) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.933824212022) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.940351761204) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.180381330534) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.934521203472) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.101773299373 | | 0 |
| epoch 44 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.938403210902) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.179837023959) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.936878070405) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00982142719251) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.704938951168) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.923471600174) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.206597880583 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.284033504937) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0873320374771) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.918372444344) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.922851534149) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.925475549724) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0194305081209) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.261084405094 | | 0 |
| epoch 46 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.626717811133) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.288349486034) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.911716740105) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0673826818606) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.177702666163) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0348599515655) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0821554804129 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.106130745197) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0710009846628) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.903718488567) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.907565056915) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.911383284432) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.048775574509) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.379189112235 | | 0 |
| epoch 48 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.916999950364) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.063246228725) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0256703945478) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.872381065348) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0688795306411) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0350120098531) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0959153336593 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0595293149529) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0359844016348) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0300911822941) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.878873754346) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0345621413399) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.887604082167) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.0758571742109 | | 0 |
| epoch 50 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0210604704563) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.894253091886) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0139551268681) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00609007903731) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0024031156435) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0148522264513) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0705812328089 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00406495357538) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.899973908632) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.905150186526) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0114936846638) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00602902188237) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00442832100812) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0641150305688 | | 0 |
| epoch 52 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00494977870277) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000641975810717) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.90968674839) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.913935415546) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.917226436933) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00611164097865) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0569460793613 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0117051457848) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.920283989677) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.923699902134) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0108660873246) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00917981232412) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.926386629549) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0501150107399 | | 0 |
| epoch 54 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.929271655663) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00258368336518) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.931006550427) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0115257914428) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.933349798753) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93573706174) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0447047938287 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.937547826079) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0149926168591) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.939233991033) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.941252403668) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0131255510144) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.942725194461) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.0397001365865 | | 0 |
| epoch 56 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.944505878241) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.945848783608) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.729625223642) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.936152216165) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.186615216383) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.939199746839) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0819513670637 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0954846031021) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.937565434554) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0602428500953) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0301359435915) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.935973862212) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0147412578322) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0453526987152 | | 0 |
| epoch 58 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0136904066699) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.93679165397) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00744268741607) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00586908850265) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.938465626713) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.940341722038) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0411338858071 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.941898632884) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943374854198) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00654375624719) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.94465150276) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.946261329386) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.947519456052) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.389051159409 | | 0 |
| epoch 60 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00952041490431) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0106049916639) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948924134485) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00652816576558) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.950235573287) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000272777556036) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.389922558889 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.951357625209) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00784684060094) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.952493843377) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.9536898998) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.924666288286) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.932232290396) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0507453805419 | | 0 |
| epoch 62 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.934224428552) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0216965720881) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00668356839955) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0208692187492) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.934531990483) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.936518251775) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0439074697061 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00735823265676) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.937881028843) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0109085621396) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0068730301166) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.940116156945) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94188028094) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0401366233993 | | 0 |
| epoch 64 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00232305465797) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00667479513109) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94342805888) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0026345749186) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.944871278945) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.946391776611) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0373222405273 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00757732939521) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00634704064165) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.947705532248) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00304267760125) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00366517839382) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.949069850761) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0350960170868 | | 0 |
| epoch 66 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.950410789226) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00434680906623) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00431609924398) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951457175944) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00339805408104) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952409863072) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0329478642511 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95357785289) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954512397725) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.955409771837) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0111620018544) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.956268184449) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957305643865) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.030139572096 | | 0 |
| epoch 68 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000687197975519) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0109061599369) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00638143918128) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958253045548) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959170015426) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959890264659) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0281644295556 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00636679750349) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00512440796356) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960638494288) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00842682537419) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00566076182833) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961234584097) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.0269958066503 | | 0 |
| epoch 70 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962022148728) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0042201547934) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962588339602) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00563924741746) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00103878150863) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963086534785) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.0258843541583 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00638621177467) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00501533918022) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00239811105685) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0061428657865) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00214922614894) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963805495423) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0251957876738 | | 0 |
| epoch 72 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964473403473) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00360372582663) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964845637649) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00085394624205) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965379136713) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00624983742037) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.0242339108416 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965959671405) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966571794652) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96705220125) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967519018691) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967972555044) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0021014920911) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0232792365141 | | 0 |
| epoch 74 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0111679684587) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96847427206) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969024708287) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.80484246208) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962836068913) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.187178238313) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0946045016385 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.15442830953) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961037831103) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960884730749) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0276360878352) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960726025954) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961666506722) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0442969246379 | | 0 |
| epoch 76 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0117323033721) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00356451970453) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961881454368) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0812353389947) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961691381447) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961948278907) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.394410064925 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0360878236526) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0165521968089) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.762539526125) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955690796043) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959613638987) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0327627198994) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.0621741848313 | | 0 |
| epoch 78 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959319283651) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.960354561704) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961032598569) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0937686151343) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.960590811798) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0394008966502) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.0409185296196 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0476074852224) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0363769088928) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960577123075) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0428467868367) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00492293718789) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0203811769268) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.0297205553932 | | 0 |
| epoch 80 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962473724922) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0224837616456) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962735192318) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00958580120469) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963109104339) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963736275115) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.0294722838459 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964302961475) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964851968868) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00167060056641) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965315148641) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965925769421) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966425203547) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.0296978627299 | | 0 |
| epoch 82 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96691016636) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0323368932679) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0147650654641) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968153921368) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96858978455) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969013597448) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 82 | 0.0226889910254 | 1 | 0 |
| epoch 83 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00435210421024) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0110337604486) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969642990649) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00490285310065) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00309901121369) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970123775803) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 83 | 0.0208632282396 | | 0 |
| epoch 84 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00171031514579) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00284611909906) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000823759558175) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000148773383234) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00141112663656) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000829781568798) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 84 | 0.0207983098669 | 1 | 0 |
| epoch 85 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970595513401) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971030042792) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97138981676) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971740754282) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972083051258) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972417026375) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 85 | 0.0195342852456 | | 0 |
| epoch 86 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972742982464) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973061207733) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973371976649) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00492138390801) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97371260767) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974037049004) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 86 | 0.0189296803984 | 1 | 0 |
| epoch 87 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00369947783332) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974343224197) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97465544243) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00320788853417) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0138683949713) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00830211613206) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 87 | 0.0180958813374 | | 0 |
| epoch 88 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00683106693177) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00377337482007) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00194463670806) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975000481348) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00165914679104) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000175455301625) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 88 | 0.0176749185341 | 1 | 0 |
| epoch 89 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975257316133) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000260755342524) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000927447292988) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000379873302323) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975533348272) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975829099265) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 89 | 0.0172596896005 | | 0 |
| epoch 90 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000509537485353) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976047083203) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00115937041242) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00991033248821) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00262078821375) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976365114956) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 90 | 0.0167158551014 | 1 | 0 |
| epoch 91 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00561537836736) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00340280667155) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00439858164666) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0040427598683) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97661145356) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00240897572937) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 91 | 0.0164733331598 | | 0 |
| epoch 92 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00407133910717) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00218094052274) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00326283126968) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976843974071) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00142300314236) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977094218008) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 92 | 0.0160658997238 | 1 | 0 |
| epoch 93 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0017164275064) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977334511396) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977595242134) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977809452848) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978019620618) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97822579543) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 93 | 0.0154319858111 | | 0 |
| epoch 94 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978428091009) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97862661668) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00149539416095) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00110831408051) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978822371722) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979040757302) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 94 | 0.0151632708264 | 1 | 0 |
| epoch 95 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979228044321) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979412014678) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.010857461015) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00129028263665) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979642590454) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00129741187106) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 95 | 0.014604305882 | | 0 |
| epoch 96 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979806488106) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00758454920681) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00269568946746) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980014032708) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980220079385) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00160668859479) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 96 | 0.0141893639373 | 1 | 0 |
| epoch 97 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (9.96511245621E-6) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000124349407903) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-5.14295440337E-5) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00684285186505) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98037943794) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00335298915575) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 97 | 0.0139289400399 | | 0 |
| epoch 98 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000729191647269) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000574496899567) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980516322578) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980705798747) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-6.78645858033E-6) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980838914333) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 98 | 0.0137072274782 | 1 | 0 |
| epoch 99 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00049839671042) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981001889786) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00751918698111) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00145249083128) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00121154930521) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000352806785243) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 99 | 0.0134535026151 | | 0 |
| epoch 100 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98118582899) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000402149889052) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981332789489) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000325347064318) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00645358044536) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981518585455) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 100 | 0.013090474192 | 1 | 0 |
| epoch 101 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981706086919) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00218386119952) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981798964885) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00530095679464) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98197292397) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00222098870362) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 101 | 0.0127977992184 | | 0 |
| epoch 102 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0045725552245) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982128831407) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00279193949043) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982245541346) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982408080594) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000447878513446) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 102 | 0.0125319656076 | 1 | 0 |
| epoch 103 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982513610624) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000119524324713) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982643505028) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00587081208635) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98280017339) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982962086442) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 103 | 0.0121162215963 | | 0 |
| epoch 104 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0014099343371) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00532009938134) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00178159680659) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0012345976317) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983063870194) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00121108813958) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 104 | 0.0120119146114 | 1 | 0 |
| epoch 105 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983175070838) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00409040918652) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983317739024) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00276885379223) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98345966104) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983601854299) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 105 | 0.0116206711259 | | 0 |
| epoch 106 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00165360449624) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983680493655) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983815474022) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983926768227) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000481677199021) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98402395998) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 106 | 0.0114599287443 | 1 | 0 |
| epoch 107 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984148825304) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984255562034) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984360876158) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984464778217) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984567296604) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0029345209664) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 107 | 0.0114753306064 | | 0 |
| epoch 108 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984680960954) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984790906625) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984889131837) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984986096406) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00340584108883) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0109828429889) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 108 | 0.0109490549038 | 1 | 0 |
| epoch 109 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00294521198374) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00635117011665) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985167253156) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985290510934) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00425430315965) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985327748631) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 109 | 0.0105757419445 | | 0 |
| epoch 110 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985441935074) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985531875723) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000964450003241) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985597706636) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985701639644) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00772511101914) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 110 | 0.0103522981124 | 1 | 0 |
| epoch 111 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985805045778) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985921576251) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986005650087) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986088747995) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986170857011) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00114682577337) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 111 | 0.0102356938173 | | 0 |
| epoch 112 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986229147275) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000188181622229) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000386141947015) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000166560807425) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986314347738) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986406293438) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 112 | 0.0102163144681 | 1 | 0 |
| epoch 113 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000829929908946) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000117668456132) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986467419132) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0012094497376) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986555009369) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00113230307745) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 113 | 0.0103025742481 | | 0 |
| epoch 114 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986639231462) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00110892643083) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986722354217) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986807530466) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00140991246307) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000766985478973) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 114 | 0.0104134807236 | 1 | 0 |
| epoch 115 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000245598445104) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000164510161213) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0114559130076) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00663230406678) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00676053406752) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00464193085839) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 115 | 0.00953022304013 | | 0 |
Success in 116 training rounds!