#input normalization
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
#output normalization
1 0
#neurons weights
-0.290308
-0.0045022
-0.449559
-0.263658
-0.0199448
0.114237
0.297588
-0.290379
1.40422
-1.18089
-1.84805
-0.84607
-4.60177
0.851372
-2.96328
-1.08141
1.26059
-0.437307
3.10967
26.3304
2.11554
#synapses weights
-0.069042
0.425331
0.314923
0.950114
1.3383
1.20491
1.58671
1.38316
0.890587
0.200784
-0.171011
-1.07051
-2.48001
-3.26889
-3.42247
-2.39924
0.259988
1.16111
1.36341
1.94166
1.31023
2.07377
-0.599284
-2.38345
1.02028
0.332591
0.477849
-0.253219
-0.932228
0.494056
1.86985
0.330116
-0.410871
0.116059
-0.820738
-0.929645
-0.889438
-0.0857117
0.395446
-1.21136
1.02595
0.813116
1.8747
1.99384
1.49091
-0.615139
-0.90098
-0.192943
1.2438
0.925633
1.74679
1.59473
0.838606
2.05307
1.51203
-1.73633
0.46663
0.116024
0.926866
1.23273
0.863144
-0.414317
-1.54312
-1.75114
0.210191
1.36854
0.670192
0.294476
-0.100791
-0.429636
-0.87883
0.363914
-0.524891
-0.968482
-1.91529
-1.34668
-2.19857
-1.10194
-1.07611
0.188685
0.0767114
0.385383
-0.120154
0.0668649
0.510191
0.165403
-0.18666
-0.0259233
-1.76929
-1.91861
-1.71653
-2.99462
-3.17116
-8.84291
-11.2087
-2.76484
4.4965
-0.911235
-3.253
-2.40335
4.80159
-2.01969
3.02186
2.0029
2.26618
-0.873212
-3.96704
-2.61462