#input normalization
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
#output normalization
1 0
#neurons weights
0.462811
0.114346
-0.275478
-0.15401
-0.201184
-0.472954
-0.146264
-0.472539
0.00554038
-0.450826
25.7737
3.20417
-0.58836
1.60103
-0.743141
-8.74473
-2.78317
-3.29746
-1.68945
4.28451
2.98332
10.0034
1.45758
#synapses weights
-2.11955
-1.56995
-1.66025
-0.836798
-3.34162
-1.19842
-6.78291
-9.90065
-9.8639
2.73142
0.483573
0.177804
-0.241255
0.855151
0.478908
0.735678
-0.599898
-0.848102
-0.198422
0.917881
0.61665
-0.814234
-0.171319
0.257557
-0.174321
0.332303
-1.04733
-1.37796
-2.01593
-1.89037
-0.57962
0.26989
0.172801
0.585498
-0.184066
0.134533
0.54323
1.04562
1.28713
1.39926
1.09903
-0.303803
-0.46689
-0.705494
-0.306187
0.0678211
1.19577
1.12475
1.63151
0.996203
-0.708619
0.0988514
1.05951
0.298532
0.154708
0.692361
1.25997
1.17258
0.0470301
-2.62739
0.532225
1.25396
0.885407
0.951545
0.60803
-0.478726
-1.27766
-1.78617
-1.37826
-1.93712
1.8795
1.23822
2.88726
2.58325
2.73718
2.25919
0.0130407
-1.16481
-1.29939
-2.86027
-0.0647241
-0.281814
-0.394551
-0.160426
-0.552434
0.822338
0.23417
0.257421
0.277846
-0.0898393
0.46971
-0.447308
-0.44238
0.245334
0.126542
0.720291
-0.0912152
-0.0776396
-0.140287
0.759755
0.157805
-0.533376
-0.290162
0.23271
0.549054
2.0065
1.91871
0.784851
1.02567
1.63697
-1.81515
-1.12969
-1.94657
-1.16201
-2.29346
-1.69028
-3.93831
-3.98366
-0.889756
3.29636
-3.72502
-0.307944
-0.401001
2.73462
1.08015
5.50113
1.32725
0.913242
-0.536254
-1.69625
-3.09076
2.77803