#input normalization
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
#output normalization
1 0
#neurons weights
0.1487
0.0697688
0.0477418
-0.43518
0.41055
0.460689
-0.452032
0.251681
-4.46145
-27.8705
-0.862126
-1.85177
0.981949
2.11237
0.619533
3.45231
0.823427
-2.71032
-3.65835
-3.08597
0.674863
#synapses weights
2.126
1.70318
2.28072
2.25605
0.731254
1.74826
-0.0261851
-1.65539
3.64088
1.76733
1.68164
4.41068
2.18393
11.0653
13.0538
0.564973
0.621609
0.502334
-0.0979771
-0.324822
-1.56102
-2.11946
-1.35441
-2.18173
0.506719
0.652544
1.36117
1.2801
1.41895
-0.62789
-1.46514
-0.704855
0.431112
0.701705
-0.766842
-0.0745453
1.78451
1.80786
1.38107
0.391658
-0.546943
-0.124379
1.4286
0.446035
-1.21457
-1.1709
0.61293
1.28337
-1.31266
-0.797576
-1.88858
-0.791942
0.453017
1.27044
0.716055
0.183923
-0.249053
0.14604
-0.13744
0.402075
-0.25825
0.780191
-0.17161
0.354223
0.690689
0.242135
0.827837
0.780742
0.964067
0.925443
0.927466
1.14359
1.92356
2.08915
1.68012
1.12183
1.35265
0.908319
0.488804
-1.71763
0.384426
-0.110962
-0.942715
-1.13337
-0.352243
-0.988067
-1.51619
-1.72065
1.80284
2.61882
-3.67816
-1.70061
1.09376
1.26832
0.265016
-1.07159
-0.55649
2.19664
-0.692267
0.283426
-0.274039
0.817042
0.13605
-2.27897
-0.11842
0.320201
2.64467
0.692491