29 Jul 2012
run length:35
|
0 |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
26 |
27 |
28 |
29 |
30 |
31 |
32 |
33 |
avg |
0.1054728 |
0.1185876 |
0.1258131 |
0.130587 |
0.1506598 |
0.2122319 |
0.4581497 |
0.8586704 |
1.20199 |
1.170219 |
0.9763492 |
1.176481 |
0.938668 |
0.9572123 |
0.902207 |
1.133812 |
1.098755 |
0.9892185 |
1.5469 |
1.384855 |
1.156185 |
0.8816531 |
1.155313 |
1.370298 |
0.9086894 |
1.091801 |
0.9211531 |
1.064359 |
1.445552 |
0.9272204 |
1.219871 |
1.281623 |
1.345069 |
1.290509 |
max |
0.1787508 |
0.3422044 |
0.4880244 |
0.4869769 |
1.047815 |
1.288545 |
1.504831 |
1.27506 |
1.43819 |
1.796796 |
1.367374 |
1.229414 |
1.067725 |
1.265468 |
1.230431 |
1.216018 |
1.179089 |
1.173458 |
1.681361 |
1.496624 |
1.225676 |
1.205523 |
1.230803 |
1.436737 |
1.25253 |
1.174299 |
0.9801109 |
1.207027 |
1.711045 |
1.16089 |
1.435449 |
1.345895 |
1.40991 |
1.366372 |
- 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