| epoch 0 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.066701886291) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.120423325857) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.452838964936) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.236441714025) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.253367862952) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.443392820174) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.577507682923 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.20637526914) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.415642911232) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.492504390798) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.591545359103) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.412891468591) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.31373534998) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.519873037864 | | 0 |
| epoch 2 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.460543788736) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.353064068468) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.330931087451) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.324057029004) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.232099820968) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.646550576945) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.345613428666 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.168103382632) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.736943614211) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.134992761886) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.775488896951) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.800139411084) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.819826708749) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.36317168364 | | 0 |
| epoch 4 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.835603163664) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.495252560986) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.843907996579) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.844838724293) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.856140337624) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.865920199289) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.311635717037 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.473071753166) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.870195174196) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.347179937796) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.869294166329) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.881572464268) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.236635631381) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.356348560279 | | 0 |
| epoch 6 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.888175989139) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.487033845179) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.892800667141) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.437851657264) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.801479911781) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.856921096867) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.199870678474 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.855672443743) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.424821849686) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.737337822453) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.824924914077) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.826198077318) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0620372729608) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.113760838251 | | 0 |
| epoch 8 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.842369659598) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0270894287665) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.852842171393) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.860814738652) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.869905942361) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0435018842572) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.200220785998 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.878830677407) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0380341540553) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0208857624653) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0118181252942) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.452444579635) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.882388454001) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.385315848092 | | 0 |
| epoch 10 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.881270271197) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.414723214904) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.894803105459) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0347937232105) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0197508624611) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9074408766) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.213696990893 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0220117160336) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0114734272808) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00901781898373) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00470587237114) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.912000263014) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.507169487006) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.0897489879868 | | 0 |
| epoch 12 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0939150599869) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.906424971184) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.911024853056) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.472246267667) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.911378500464) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.747061141233) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.089514962955 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.894457152466) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0982364338685) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.892065752355) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.894997107264) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.900029072148) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0159243613136) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.262161025407 | | 0 |
| epoch 14 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.905240638806) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.908430908731) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0121696038679) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0086366473695) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.913048160556) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0111089491771) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.0592570346532 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.916585287306) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0144306839285) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.919879591275) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.922465404995) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0238427416524) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.925647948458) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.0528018798629 | | 0 |
| epoch 16 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0197380357355) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0110874380707) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.928671785614) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0117875524433) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.931078130732) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.932971490902) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.216702006018 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0199725073525) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.935330449984) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.937079658764) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.938833470164) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.940488982212) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.531365770039) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.297498171573 | | 0 |
| epoch 18 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.939508308979) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93702338006) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.93876014505) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.110451014507) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.940930496517) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.943193220405) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.280245335753 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.672866802645) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.935654916088) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.538555960674) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.929820299909) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.927213195105) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0569066466661) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.211498412156 | | 0 |
| epoch 20 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.502673518966) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.173946769459) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.913160377112) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.116546925198) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0470377004465) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.9122933073) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.0633235266338 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0269232605106) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.915049664463) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00445448265986) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00136720363237) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.917877972152) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.920434142097) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.0551698630269 | | 0 |
| epoch 22 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.923274816359) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.925913169253) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.928367913632) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.037437452492) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.931115254654) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93327129382) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.217844120708 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.935250895719) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.937111524183) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.938864057966) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.940517875459) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0582277638431) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.942456383713) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.224627527777 | | 0 |
| epoch 24 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.539379721224) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.941702908922) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.939223795354) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.103869632223) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0468486654079) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.2043976758) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.221550251255 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0656955990499) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0251276623877) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.940903931509) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0140129927236) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.942182824383) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00113251398434) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.0399502311713 | | 0 |
| epoch 26 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00164264654156) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.943519386999) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00434491425029) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.944942560073) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.946097288051) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.947374445179) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.219566145337 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0185085641069) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.948819473833) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.949927599226) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.951026670847) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0243614905942) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0120154586559) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.223578804888 | | 0 |
| epoch 28 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952491371457) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.953406665276) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.546034907967) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.107264578058) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0133057605784) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.950166708102) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0368645852198 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951180575939) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952224104872) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0279648251227) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0134890228771) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953658425932) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.954541236785) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0335806672102 | | 0 |
| epoch 30 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.955443540789) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.956309909669) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.95714230729) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.957942727044) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958713008055) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959454849392) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0407836907178 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960169823268) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0456425545203) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961037957809) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961864493621) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962496201211) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96310636404) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0370657776847 | | 0 |
| epoch 32 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963696527701) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964267675351) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0448712219461) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.553378060347) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963479092208) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961547551914) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.329583329336 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0873833291305) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962411849874) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963427449734) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0515179421399) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964172387109) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0293862836986) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0265268396116 | | 0 |
| epoch 34 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0136351197757) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96523062039) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965743022438) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0146739712905) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966350434836) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96683777208) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0251083167478 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967313079566) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967774678199) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0202030507881) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00962918592403) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968431919549) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968840064511) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0231861733833 | | 0 |
| epoch 36 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0114098604235) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00589077200466) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969401246345) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969768090939) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970162047002) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0115775573094) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0211913374961 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00591263169469) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970680368848) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00568446857371) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00341732340859) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00189005282162) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971130871165) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0203050858927 | | 0 |
| epoch 38 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971440517175) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971791559744) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972134022884) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972468123459) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0138516590824) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.557999385876) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.347074587597 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971557662815) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.82434301588) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0827077626743) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0708182324951) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960238340693) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960379112293) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0374451228966 | | 0 |
| epoch 40 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961059691755) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961718286681) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962354442186) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0245802111989) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963030841896) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963386885816) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.025730663527 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00507741917248) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964052029944) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000992449085171) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00169187756261) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964591380786) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00312141884386) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.024711899684 | | 0 |
| epoch 42 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00256592681192) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0013274149857) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965182898105) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965630178239) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00638760763636) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00389921862334) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0238994079829 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966269502711) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00454738989698) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966786579056) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00551935814516) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00349152588829) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967325619244) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0230110903311 | | 0 |
| epoch 44 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967730295286) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968179890528) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968617008555) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969042041389) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0165200260841) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00803225550595) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.221824797558 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969629577233) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970001244034) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0101207882462) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970462344101) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970824341972) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0107618251904) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.224777252685 | | 0 |
| epoch 46 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97126127764) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00817090676581) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971673413741) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00683255538412) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972061646415) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972373259604) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.227302177134 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972701532005) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.55577238123) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971720266439) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970120211606) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970500757301) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0776426286232) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.0316206070307 | | 0 |
| epoch 48 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0340599762766) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971412287612) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0249868748394) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971942176097) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972335646539) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0179080958107) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0201925215591 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972736457479) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0115979054431) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00582701607545) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00337522228003) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973227281168) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973499950441) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.0190616291055 | | 0 |
| epoch 50 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00635132715312) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0035945197888) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973886025383) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9741465522) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00639595385916) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00358977852667) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0180771319996 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00201940186413) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00113533439789) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00063839318731) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974545906651) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00196536653508) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00171422812514) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0178033137409 | | 0 |
| epoch 52 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000877208903855) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000505566160074) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974849271564) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975079127623) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975345590201) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00663242099255) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0174070371719 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00364568068833) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975683190882) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975909937723) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00615328582356) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97620407944) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00536661327875) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0167773805694 | | 0 |
| epoch 54 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00308291331214) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976497159069) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976707233862) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0056395529355) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976981773739) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977192657724) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0167660293215 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00722070147849) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977457304931) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00577522782997) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977705183704) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00502725797985) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00288632718301) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.015623354137 | | 0 |
| epoch 56 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00161444844999) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977973768366) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.555840534685) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977087972689) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975738866436) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.657387206388) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.121201518676 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.16966058451) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0405659298197) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976452738921) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0320823835229) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976510520584) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0138169186996) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0169071335158 | | 0 |
| epoch 58 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00498771917545) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976559952809) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976739259301) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976971043318) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977198277875) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977421006766) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.016491445071 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00662853448896) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977679902496) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977882157785) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978091585762) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00967702667809) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00482604185359) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0154187463268 | | 0 |
| epoch 60 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978375264418) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978559616636) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00655382300995) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97879304742) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978976357124) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00732057901363) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0149507600967 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00380418309951) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979228695697) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979395974709) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979577468875) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00767060701453) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979790259758) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.014745017894 | | 0 |
| epoch 62 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00576852051474) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979993484984) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980155206285) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980323471317) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980488883932) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0104336189027) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0141181158217 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980685345972) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00706219089716) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00363462798091) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980905586656) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00353792258244) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981074626487) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0135223556479 | | 0 |
| epoch 64 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00357446037562) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00215566249384) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981252753435) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981385058312) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00427161995704) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0024374631612) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0130649782584 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00136547026669) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981581970611) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981707456693) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981850222647) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00546210269013) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0029210246976) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0127577637965 | | 0 |
| epoch 66 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982034677259) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00298293162096) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982182554079) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00318801304211) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982328393885) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982449076347) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0128043542122 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982580424118) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00660297121676) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982734923212) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982859570738) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982984813618) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0081919007494) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0122618604511 | | 0 |
| epoch 68 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00402769197597) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983157938214) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983270118989) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983389384214) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00685246483077) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983530142875) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0120913966283 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00499162986659) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0026639374462) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00151819026696) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983689125346) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00195524399368) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983807488041) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.229548993835 | | 0 |
| epoch 70 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00251508423782) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98392563854) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98402440399) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00429925435168) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00235566418886) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984165380449) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.230693953443 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.564413667276) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0944542260165) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00708755652073) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982677901744) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982804640244) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982930694663) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0161605323703 | | 0 |
| epoch 72 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0153358746036) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00703277266718) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98313075044) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00576073846462) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983274390378) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00447061437534) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.011857453745 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00245411277497) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00138838197474) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000779450555427) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983436481618) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983536652824) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00306253389014) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0116194477737 | | 0 |
| epoch 74 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98367247642) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983775703468) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00462244783247) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983908617649) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00383945211032) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00216660972818) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0113153530314 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984044029099) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984140506219) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0038559733188) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0021653747868) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00121793936034) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984284199695) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0111155880013 | | 0 |
| epoch 76 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984375505893) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00320995630889) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98449794832) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00307568271569) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984609863503) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984701977123) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.0111975348956 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00444719002868) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00239394295131) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984832273745) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984920204606) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.9850169629) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985112485906) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.0114901530396 | | 0 |
| epoch 78 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00672369562185) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985225748792) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00476204022896) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985336957056) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00377025322552) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985441520938) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.0104917534784 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00326399046158) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00187096361579) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00104692677292) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00058938678974) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0003312966766) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000186295562028) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.0102103756565 | | 0 |
| epoch 80 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000104747872793) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985561215547) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000935027175346) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000888568992718) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985653202357) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985728707533) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.0102143391275 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985815305251) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00407339604894) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00219782865129) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985927106432) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0022700784236) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00143646713341) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.0098986543092 | | 0 |
Success in 82 training rounds!