#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
-0.0791493
-0.145772
-0.356203
-0.308908
0.109137
0.306011
0.136423
-0.287297
0.404155
-1.7242
-0.710349
-0.497839
-1.30231
-0.503886
-10.3979
-5.52617
0.390469
4.08245
-3.25099
-25.7836
7.86962
1.1225
#synapses weights
-1.25769
0.0535828
-0.276893
1.34523
0.387518
-1.56641
-2.89126
-2.35481
-2.33119
-0.411339
-0.259257
-1.06662
-0.968373
-0.870354
-0.200652
0.205545
-0.193051
-0.278201
0.453244
0.219321
0.658331
1.21614
0.997987
0.213873
-0.750605
-1.40813
-1.56602
1.01622
0.86215
1.7047
2.81643
1.66651
-0.478414
-1.58026
-1.62521
-0.494856
-0.424571
-1.0671
-0.343346
0.774707
0.432682
-0.545956
-0.628495
-0.61293
-0.791355
3.39422
2.02028
3.41419
1.53373
2.05201
5.9276
5.22005
-0.411692
-4.53489
-0.320269
-0.157297
-0.935515
-0.913639
-0.688032
-0.319039
-0.695911
-2.12003
-3.01305
-0.271294
-0.310543
-0.650277
-0.569583
0.681387
0.463079
0.0754947
0.404414
-0.57446
0.99159
1.04087
2.05365
2.90205
1.68893
0.556837
0.756423
0.748342
0.720917
0.325258
0.0343818
0.00977549
-0.237776
-0.261627
-0.249124
-0.239972
-0.265271
-0.816489
3.88401
1.04405
4.55588
1.32061
2.38013
6.6569
11.1115
7.22937
-1.10928
1.60936
0.500961
1.26213
1.08518
-1.10566
-1.66099
-1.1791
0.272855
2.3732
0.385446
0.539369
-0.277597
0.522096
-0.813993
-1.18266
-1.23016
0.503399
-0.904618
1.12443
2.93462
-1.53464