#input normalization
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
#output normalization
1 0
#neurons weights
-0.496951
-0.254596
0.282095
-0.0942342
-0.387139
0.150607
-0.454162
-0.3059
-0.135251
-3.78535
6.05288
-2.14555
-2.20628
-9.75881
1.2504
-0.339391
29.1218
-3.48853
0.160713
1.19998
2.66617
1.76936
#synapses weights
-0.075088
0.400777
-0.195949
-0.424196
-0.0373645
-0.149997
-0.382569
-0.493808
-1.63732
1.5656
0.427873
1.96731
0.820926
1.06017
0.273108
-0.826909
0.121822
2.18481
1.08295
0.788802
0.828914
-0.232863
0.51724
-0.738122
-0.440411
-0.326865
-0.753116
0.0626351
0.838829
1.49137
0.459436
-0.481586
-1.51197
-3.00976
-2.71444
-2.46786
1.53746
1.50583
2.34373
0.987703
2.14959
3.92055
5.06442
0.750624
-3.30711
0.182873
0.349629
0.532951
0.091743
0.141555
0.0159074
0.170546
0.826142
1.17484
-0.337123
-0.360752
-0.690752
-0.180535
0.177426
0.38612
-0.305995
-0.812935
-0.888752
-2.00878
-1.83444
-2.49845
-1.91402
-2.65959
-5.40291
-9.20016
-12.8753
-0.0392148
0.213132
0.492048
0.792773
0.929437
0.950716
-0.185218
-0.130752
-0.0700549
-1.15996
2.11863
1.91493
1.25249
1.55746
1.70295
0.980562
1.03382
0.263674
-0.355504
0.926857
0.900431
1.03685
-0.155229
1.16149
0.920773
0.797003
0.963775
0.619453
1.01746
-0.0378169
0.204596
-0.0208654
-0.31078
-0.00617267
-0.292911
0.137579
0.672146
1.9309
-1.69945
0.654442
2.49521
-1.26992
0.806056
-1.36445
-2.874
1.7226
-0.0933228
0.524467
0.762248