#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
0
0
0
0
0
0
0
0
-106.192
-106.344
-106.059
-106.163
-106.165
-105.674
-105.808
-105.764
-105.806
-106.023
-105.681
-106.053
-106.082
-106.195
-106.351
-106.079
-106.15
-106.331
-0.987119
#synapses weights
0.702369
-0.823405
19.5668
-0.555361
11.6183
30.2937
33.9226
30.4608
-11.0426
0.640794
-1.11114
19.636
-0.820081
11.3096
30.0267
33.7571
30.3015
-11.1541
1.61597
-0.51067
17.8365
-0.169859
12.0074
30.6872
34.2123
31.0483
-10.7138
1.6609
-0.797964
18.455
-0.41559
11.7897
30.4443
34.0191
30.7201
-10.9286
1.66229
-0.786152
18.2916
-0.388836
11.8141
30.4724
34.0339
30.7601
-10.9123
0.95293
-1.87298
23.7774
-1.15604
10.824
29.6912
33.8495
29.9187
-10.9075
1.30129
-1.0122
20.2129
-0.496878
11.6187
30.37
34.1643
30.7161
-10.6807
1.13986
-1.36447
21.3793
-0.720909
11.3737
30.1489
34.0601
30.4417
-10.7705
1.29622
-0.982549
19.9797
-0.456993
11.6593
30.4144
34.1942
30.7844
-10.6473
1.28311
-1.03273
19.5008
-0.560668
11.5723
30.2992
34.0317
30.6503
-10.8374
1.70945
-1.74163
21.0927
-0.835237
11.2122
30.094
34.1316
30.6317
-10.576
1.09182
-1.31442
20.5489
-0.800391
11.2959
30.0313
33.8631
30.3272
-10.9932
1.53865
-0.861074
19.0303
-0.47031
11.7094
30.3884
34.0334
30.6808
-10.8846
0.999082
-1.14562
20.0748
-0.852748
11.2123
29.9906
33.8599
30.416
-10.9651
1.01163
-1.1504
19.6871
-0.895169
11.219
29.9605
33.7342
30.2842
-11.1485
1.63044
-0.502885
17.8634
-0.191004
11.9845
30.6651
34.1929
31.023
-10.734
0.910365
-1.13775
20.2107
-0.834292
11.2152
30.0026
33.8938
30.447
-10.918
0.58135
-1.08755
19.6367
-0.792266
11.3403
30.0521
33.7731
30.3166
-11.1438
0.518424
0.0220926
2.03611
1.46684
1.58401
-3.28218
-0.0221503
-0.989178
0.104966
0.433173
-1.30749
-0.289552
0.990121
-0.60332
-0.0635506
2.00323
-0.66639
0.0493134