adaptive training #2

run length:48
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avg0.113330.12169220.14104080.22551690.34389470.53086220.70928660.74734130.83809930.83153670.92424280.83931471.1031981.0540691.1116831.0516291.0280541.0436360.96778351.015111.0450511.1380881.0021890.87519880.94239440.90267321.0629760.91720461.3347261.0799310.70328121.3776991.2364361.7413621.0817631.3413660.89425670.92669591.0798421.0677050.75573451.3546180.93386291.0700211.2887321.1961181.037447
max0.48422240.73180870.78723031.3143611.1677711.0261971.4225641.5387461.4745011.2834531.4234181.3491161.6149291.3924651.46851.2743141.2034641.2288271.081251.1712781.1069391.3598231.1064740.92189871.063581.0071611.3766670.99576691.4478711.1733470.82806491.5154071.3694681.8393451.1613621.3774320.94413690.95007731.1096591.0922070.77086321.388190.94599271.0938741.3221041.240411.065003
Population Size
100
Run Length
20
Do Training
False
Do Hybrid Training
True
Do Competitive Run
False
Do Adaptive Training
True
Inputs
hasTarget,targetLeft,targetRight,targetNorth,targetSouth,dirToTarget,distToTarget,wall,sensor0,sensor1,sensor2
Outputs
left,right,up,down,run,sensordir0,sensordir1,sensordir2
Hidden Layers
8 12 12 12 8
Back Propogation
True
Learning rate
0.5
Momentum
0.1
Growth rate
0.5