| epoch 0 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (-0.394820972332) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.117252866593) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.522192072267) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.666026139501) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.570419697179) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.632384412107) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.540291788525 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.704732060868) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.750937883014) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.782715275969) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0319767768607) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.679531375178) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.722682708826) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.473595146023 | | 0 |
| epoch 2 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.762358144378) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.791012330247) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.812707515788) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.829848117557) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.843811880651) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.855452886793) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.619248922834 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.865334406306) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0926668898108) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.508305801425) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.831054543889) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.851426462953) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.177972401444) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.426959699183 | | 0 |
| epoch 4 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.75352731453) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.67705274346) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.801321471848) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.225692199555) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.707414363752) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.736197036814) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.424953579156 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.771535567117) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.690478838598) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.71459750903) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.756148605758) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.786436116914) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.809169953336) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.401795050724 | | 0 |
| epoch 6 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.827011949693) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0632281173403) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.840341567328) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.433484824285) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.242940148831) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.768391083711) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.437780222328 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.78364145717) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.806677965877) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.8250151546) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.839837687605) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.852115958189) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.862485635522) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.458074488511 | | 0 |
| epoch 8 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.258832447593) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.848950910457) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.75453157122) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.318354313417) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.794200655219) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.712776008206) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.36786878552 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.152386795544) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.105015544798) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.129839213259) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.707908871541) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.741356527735) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.775385985725) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.360500441282 | | 0 |
| epoch 10 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.695291027196) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.046740755448) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.721692669818) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.101123524827) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.582587237339) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0643259755911) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.427092580313 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0749981765842) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.406301448182) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.563220304848) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.671596578903) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0672544784257) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.743839224569) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.358025172226 | | 0 |
| epoch 12 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0918949204461) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00688409372522) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.774574277834) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0235471240126) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.79801774317) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0864703954567) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.219739176452 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.709812215975) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.742659464748) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0654751275812) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00492769903946) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.778289580634) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.79868809652) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.358345222122 | | 0 |
| epoch 14 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.818591457958) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.834597945849) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.847745232504) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.514722056928) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.79647968295) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.385431609644) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.251257997857 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.756265031569) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.770414101456) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.796485813143) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0838656444858) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.248497404185) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.111086962886) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.351932436779 | | 0 |
| epoch 16 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.522937994726) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.78054730473) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.265608442301) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.754522937069) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.771778830849) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0292036824425) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.243807570511 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0182097705054) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.803622152785) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.818807457811) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0277484137908) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000664759627373) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.836278550115) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.143640468794 | | 0 |
| epoch 18 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.230553127032) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.54195304485) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.836350352285) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.109354719568) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0228582267233) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.239474889126) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.160649699133 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.807791278034) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.151485361023) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.800301004576) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.812545360026) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.135516199657) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.046104213514) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.135063138731 | | 0 |
| epoch 20 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.838624180998) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0176456633131) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00225715816168) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00199808441665) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.849534472498) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0139782991466) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.126517403955 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00265528340168) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00180843726638) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.859868495418) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.867534100099) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.875734217059) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.826565212328) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.234697756919 | | 0 |
| epoch 22 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.827824016439) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.841885071652) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.194723466853) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.104176099593) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.836404591028) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.844716165405) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.12420596487 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.172625650338) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.534527609629) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0890884515155) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0564041561642) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.837755848414) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.849485323218) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.132866160313 | | 0 |
| epoch 24 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0260666758042) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.860651592883) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.868775160226) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.017610194051) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000758413893686) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00160556541497) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.121362572947 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000356778358565) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (3.56824800999E-5) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (3.78197099088E-5) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (6.97852622972E-6) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-1.21115996809E-6) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.208869123432) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.123768297014 | | 0 |
| epoch 26 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.859046025318) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.12728505182) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.851740374635) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.12773872915) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.865207215752) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.142362549111) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.122772397614 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0996786434506) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0158140372715) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00377966988029) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.857733729785) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0151795630472) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.122899160073) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.113403655494 | | 0 |
| epoch 28 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.854946121616) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0355213700623) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.86405878187) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.103694507916) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.862389279371) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0626367285291) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.255143330235 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0898359265944) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0191428620776) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.865128302996) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0160928907908) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.87249857507) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.091896539933) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.135049091255 | | 0 |
| epoch 30 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0453389507027) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.872448574989) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.877948618335) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.88484661108) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0219214865405) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.891107260641) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0822576093161 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0893864787417) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0431139114113) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.890188842966) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00900114471271) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00199677621941) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.894891773711) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0780080483796 | | 0 |
| epoch 32 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.899091100654) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0129309366233) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.904031173872) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.08334227804) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.902709329727) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0487785765869) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.079562777597 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.056530946511) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0417448161563) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.899788860426) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.903015163439) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.012415216595) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.908343093109) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0665299637626 | | 0 |
| epoch 34 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00193903221593) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.91189759878) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0594231092509) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00657652800409) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.910520083032) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0326235456633) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0684164489845 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.912023213348) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0330392980535) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.916036706597) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.918282048816) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.921280614145) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00520427849358) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0570125931826 | | 0 |
| epoch 36 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00162039974875) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00083763930871) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.924465511343) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.926593903856) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0615113426661) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.92613310557) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0540102186087 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.927493036118) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.929834632503) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00847353026139) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.932571234965) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.934178258738) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0573074078011) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0505492394117 | | 0 |
| epoch 38 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.933673611358) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.934736055555) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0157202757091) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00650879059629) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.937252791121) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.938651969417) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0480955399757 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.055339505368) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.938111146549) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0318138260223) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9378426488) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.938975606743) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.940620398542) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0440698688486 | | 0 |
| epoch 40 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0275841765905) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.941239604963) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0307624982308) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943126057178) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00304473815145) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.944339423873) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.0419213363665 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00194490735084) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.037382141142) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.944131441897) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0142611926342) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.945455900216) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.946434161744) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0400557671716 | | 0 |
| epoch 42 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00226268760147) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.947851372415) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.948870360686) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0429524094978) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0200048702564) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.948607191793) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0384339726001 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0340019815291) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.016187234208) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.948340903193) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00401843074105) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.949308705373) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.950284593963) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0369375500206 | | 0 |
| epoch 44 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0322010655259) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.013974801189) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0010629611819) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.950272769888) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00497701644446) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.951259192846) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0356097281306 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952168459272) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00518345879863) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.953241691636) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95408024126) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.955001079486) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00701921566053) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0337713723695 | | 0 |
| epoch 46 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000207643653059) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000507522184174) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0313584988498) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0132385561964) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.954260748047) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0169019301044) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0326468510354 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00604575627258) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0220745655656) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0116506543055) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954570005609) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00334324913533) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000764980841815) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.032450509503 | | 0 |
| epoch 48 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955369813861) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956093379088) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.956933711243) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957742082085) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0309790735005) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957679109392) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0305852710942 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00343679555037) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00240901371902) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958318307885) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.958937029362) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959670274122) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.457537203328) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.473761747555 | | 0 |
| epoch 50 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.810599641483) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.950720229506) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0754323038731) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.018288938617) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00123954785652) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.947373902163) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0365452289997 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.948383671296) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00492218874431) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.949649480521) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0031174051185) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00100748187297) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000517866971553) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0348014342772 | | 0 |
| epoch 52 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.64126658173E-5) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (2.16885476832E-5) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.950779460167) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00401394051565) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000736904652715) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.951811686021) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0335654010952 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00346257052986) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952761463014) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00271645852539) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.953714747895) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954518971964) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0077196087163) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0315624879037 | | 0 |
| epoch 54 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00266087289515) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955517408377) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00260842353478) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000919726896114) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956351604622) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957041986598) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0329953455363 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0050475464853) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000227178874348) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0213302729453) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957431540564) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.958088056314) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00865967863464) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.0290371595782 | | 0 |
| epoch 56 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00375204827103) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00027936757035) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959068759745) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00308044001931) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000661676388313) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959782215514) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0281535751179 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.960367871015) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961050127242) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00631808944726) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961727867618) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.011864232986) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00688765522709) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0266727091255 | | 0 |
| epoch 58 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00238977452644) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000664288257485) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000368773289678) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000147433214317) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96232136942) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0140510246713) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0269837312838 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962704753339) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963255914409) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963841085375) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964407623636) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0158309976385) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964781323264) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0257019900512 | | 0 |
| epoch 60 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965266486658) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965788472392) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00770464925617) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966466480106) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (6.88612526934E-5) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0112111559146) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0243538998095 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00892607614228) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966888172924) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000418403678901) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00106070428465) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967324674894) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967706240887) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0294788995984 | | 0 |
| epoch 62 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0462970491047) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0251041682059) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0050912208851) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000683209351654) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000584921787113) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967381421736) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0228664374984 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00264086652308) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000464574002049) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967831495667) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968204063564) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00364511900984) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968669009846) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0219369729904 | | 0 |
| epoch 64 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00201857791718) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00057880937552) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000311976211022) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969104038398) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969448001711) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00376859635814) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0213024539883 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969873931454) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00198656903256) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970261027364) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970590015756) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00292889642057) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000267790176764) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0205018470124 | | 0 |
| epoch 66 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0003076130801) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-5.85586428614E-5) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (9.38379671983E-6) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (1.14613308679E-5) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (2.21541825928E-6) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-4.66362004522E-6) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.020500148235 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (2.93583417676E-6) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971008360888) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00229585638138) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000430190447909) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97136099682) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00201198096847) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0200203240736 | | 0 |
| epoch 68 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000493879050283) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971705193518) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971992146053) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00319921819302) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000149859538255) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000294898310951) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0195378380375 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-6.46848254923E-5) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972368732209) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972644037322) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00337715451903) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972984436736) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00177740680644) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.0188857665972 | | 0 |
| epoch 70 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0003047412907) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000203711205762) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973306037654) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00235849324541) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97358860169) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00110757324702) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.0184685266072 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973887108328) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00132935973018) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974171816353) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974417627242) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974698586733) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974973416277) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0365960819346 | | 0 |
| epoch 72 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0784457578214) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973826969018) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973777614914) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0299613381509) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974393122541) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974509164143) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.0179716309159 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974787863874) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975060736014) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975327671517) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975588863483) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00568279037433) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975832598319) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0169914565269 | | 0 |
| epoch 74 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00121904495478) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00235288996825) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976127311888) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97632358749) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00256525040987) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00015751058487) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0209507800901 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976591438241) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00159981402591) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976812133495) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00128863077358) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977037442605) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977231685545) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0345118639013 | | 0 |
| epoch 76 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977453704027) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977671422884) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977884917302) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978094310103) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00603514231337) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000808570031402) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.0348729943583 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978300224628) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00135793838953) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0774591369997) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0420625852798) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977280359305) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97731576034) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.0171011059057 | | 0 |
| epoch 78 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97753587497) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00223266228836) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00020034915608) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977778100164) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977954861325) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00247357494633) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.0181961611335 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978176707606) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978356277348) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978556720235) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978753470639) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.9789465944) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00506082994305) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.0290277817068 | | 0 |
| epoch 80 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979128730466) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979301693936) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979484873632) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00358224967004) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0691851888786) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978602061353) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.0261929384624 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0301901864505) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0086213869728) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978760624199) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978893822716) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0034289090496) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000159406032631) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.0147797204468 | | 0 |
| epoch 82 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979099210362) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979256551062) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97944051391) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00629287913196) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979601465889) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979768706077) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 82 | 0.0141907556554 | 1 | 0 |
| epoch 83 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97994364593) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00289798461711) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00113202723608) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980138162165) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000174694364692) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000642278294851) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 83 | 0.0139531834561 | | 0 |
| epoch 84 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000180968187818) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (4.3305071977E-6) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (1.56033864218E-5) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00239708036525) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00175231844884) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000632136321951) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 84 | 0.0139460963954 | 1 | 0 |
| epoch 85 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0018472994792) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980290715645) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980435397345) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980598888039) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980759664179) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980917764764) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 85 | 0.0157255711636 | | 0 |
| epoch 86 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00338737297301) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981075139075) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00142208891819) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000284586321625) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981234543734) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981359892765) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 86 | 0.0165978899427 | 1 | 0 |
| epoch 87 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00209530975361) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981517955747) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00116979550312) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000334447094506) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981667580475) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00127110187473) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 87 | 0.0234880131739 | | 0 |
| epoch 88 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981801598714) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981923865379) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982063247299) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982200495474) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00331781035889) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982336236885) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 88 | 0.0315631541902 | 1 | 0 |
| epoch 89 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982457176641) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00210671991297) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982596205218) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982710403045) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0733490410407) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981890151097) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 89 | 0.0253567084026 | | 0 |
| epoch 90 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0308972097242) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00869009063279) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981988010593) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00230374635713) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00018367138438) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000145650844052) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 90 | 0.0126625025194 | 1 | 0 |
| epoch 91 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98209369904) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982208109188) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00245139017974) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000507381613214) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (9.66156513682E-8) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982357496662) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 91 | 0.0124304114567 | | 0 |
| epoch 92 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.001086026004) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000326448338333) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982488349161) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00192649899383) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000811301093601) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98261615954) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 92 | 0.0122572481827 | 1 | 0 |
| epoch 93 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982722105375) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00179397885371) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00286612395612) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00236519730501) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00144237305085) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982850859989) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 93 | 0.0120749054773 | | 0 |
| epoch 94 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98295971268) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00369547712882) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00191722306562) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0018651820035) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000336981422648) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983103393137) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 94 | 0.0130401907627 | 1 | 0 |
| epoch 95 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983204644722) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983324838239) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98344332915) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00354179110031) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000350502504787) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000192209033886) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 95 | 0.013165801291 | | 0 |
| epoch 96 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-7.8014553212E-5) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0153999673067) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0106374568201) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00340359389843) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000117463739688) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000298358326382) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 96 | 0.0116558459706 | 1 | 0 |
| epoch 97 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-7.87659380001E-5) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-4.42350973542E-5) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-5.1998504041E-6) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000142340471486) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983516658801) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00116359699438) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 97 | 0.0115793532346 | | 0 |
| epoch 98 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983625852045) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.9837247464) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983837565457) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00229929840327) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983953373523) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98405126124) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 98 | 0.0113185457846 | 1 | 0 |
| epoch 99 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984159571961) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00246068169948) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984269610687) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984364169677) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984468244669) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984570941239) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 99 | 0.0246489077185 | | 0 |
| epoch 100 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984672275225) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984772273727) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984870963145) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00506149048246) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984956700053) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985049567422) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 100 | 0.0294447787073 | 1 | 0 |
| epoch 101 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985144668865) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985238560064) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0724013777063) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0363577843971) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984575547897) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (9.1446000143E-6) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 101 | 0.0109042771983 | | 0 |
| epoch 102 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98458806806) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000663908105906) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000357572180553) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984689026698) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984771929307) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0017187215893) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 102 | 0.0106936872166 | 1 | 0 |
| epoch 103 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984877036727) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984962851191) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0015986149964) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985065851724) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000926169580947) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985159505118) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 103 | 0.0104519954872 | | 0 |
| epoch 104 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000800406895069) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985251061108) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985330620133) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00140143451631) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000139575790976) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000148404248592) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 104 | 0.0102998415298 | 1 | 0 |
| epoch 105 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985433849596) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00111018935625) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00021167663679) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985521568797) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985595937947) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00161067350478) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 105 | 0.0101188637232 | | 0 |
| epoch 106 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985689979767) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985766733802) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985852869472) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00210986322438) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985940925355) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98601616934) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 106 | 0.00989258764911 | 1 | 0 |
Success in 107 training rounds!