#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
-0.350424
-0.456498
0.350757
0.198398
0.243049
0.100816
0.0434277
0.440411
0.254502
-0.0942016
-0.0584032
2.09368
-0.934579
-2.3645
0.16469
1.10337
-1.46851
1.97644
-3.674
1.89141
9.5475
-6.13415
-0.107434
-2.99244
-0.0230417
0.268285
1.46747
0.603269
#synapses weights
-0.0163745
-0.880743
1.21403
0.429489
0.236583
3.29953
-1.13949
3.46344
0.282102
-0.656618
0.321696
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-0.0159172
0.0502953
-0.59538
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-0.650514
-0.168653
-1.81706
-1.76673
-0.166505
-0.0147677
-0.975083
2.72512
-0.442506
-7.6569
2.85994
-1.02444
0.185747
-0.483047
-0.943727
-0.65887
-0.887871
0.73903
-1.95433
0.202134
2.05646
2.22595
-0.0746771
-0.274088
-0.185438
1.95871
0.0139163
3.34591
3.32871
-1.42412
-2.58429
-0.329072
0.241956
-1.40508
1.88885
-1.05404
3.1147
-4.45696
-1.10192
-2.23889
0.150828
-0.240903
0.00922122
0.990465
0.351282
2.39943
-2.68456
0.605507
0.183724
-0.389246
-0.612104
-1.7522
0.210644
0.31699
-0.978286
-0.922903
2.38679
0.159234
1.1915
-0.296478
4.39857
-1.57947
-0.28192
0.970341
-0.301395
-3.40083
-1.37859
1.35279
-0.0693944
-2.81393
2.24817
2.07127
-2.84226
-1.5929
-1.26679
-6.26974
0.395835
0.216741
0.62556
5.21361
-0.760601
11.0889
2.02086
-3.86312
-5.13214
-0.122679
-0.00526062
3.21782
-9.25279
-2.71803
5.79712
-2.35876
4.61306
4.85842
-0.30553
-0.179474
0.425807
5.14714
1.09358
6.29566
-0.704052
0.00454382
-0.570486
-0.399113
-0.563604
-1.27394
0.830657
0.678027
-4.56604
-0.0441964
0.752209
0.857232
0.0221182
0.0231791
-1.168
4.86235
1.08655
-5.05895
-0.902135
-1.24784
-1.11167
-0.620701
0.404692
-1.9818
2.26104
0.112789
0.790823
1.0003
-0.089461
-0.698241
0.359856
0.364077
-0.24188
-1.14969
0.0924781
0.198077
0.052833
1.44086
1.3328
1.14276
0.0369203
-0.0222004
1.20118
1.25898
0.520136
1.4908
3.63905
-0.426505
3.08114
-1.64946
-3.65576
-1.89057
2.22549
-0.738745
2.70435
-2.67347
-5.79616
-2.72416
3.73026
1.87718
-5.24792
1.8277
-0.676786
-0.757903