#input normalization
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
#output normalization
1 0
#neurons weights
-0.259802
-0.414596
0.0745789
0.335937
0.188876
0.157665
0.290878
0.0723902
-0.0488691
0.226006
0.457857
0.416496
7.05036
4.61827
15.4696
-0.589893
0.3662
2.44139
-2.4071
11.2988
24.3538
4.53665
5.52732
49.8802
2.90974
#synapses weights
1.52548
0.919975
2.44885
3.65084
4.96321
4.50387
4.47849
5.07927
4.4307
3.41323
2.83334
3.90371
0.308746
-0.145852
0.0839245
-0.663786
0.103711
0.607704
0.763405
1.82115
1.60017
2.61667
2.94197
3.23326
-1.28877
-1.54866
-2.37662
-3.29545
-2.38471
-1.41735
-0.202078
0.979206
2.79734
5.36461
8.12759
11.4611
-3.06622
-3.42931
-2.22226
-3.34816
-4.81642
-5.38858
-6.24891
-5.78132
-6.46835
-5.69581
-4.60586
-2.33182
0.733104
0.171521
-0.743171
-0.0969221
0.609291
1.21426
0.904748
1.81031
1.78311
1.50406
2.41844
1.22958
0.764779
0.817736
1.94453
2.26522
2.20998
2.29507
2.1962
1.47621
1.28775
1.57271
1.17216
1.13464
-0.409292
-0.388594
-0.75392
-0.686291
-1.13591
-1.24149
-1.67413
-2.22775
-2.31712
-2.73175
-2.99513
-3.00888
0.356571
1.18371
2.66623
2.98875
1.13803
-0.041294
-0.852683
-1.21729
-1.26023
-1.23333
0.462626
6.1888
-5.76904
3.79573
7.2282
14.7262
2.3095
4.71553
-2.42793
-3.32353
-18.3718
-7.32182
-5.4548
2.11494
-0.910984
4.94369
-4.4449
-7.33226
-12.1389
-5.26237
-3.93622
-2.85883
3.02789
12.6602
18.6571
16.5825
0.253907
0.177099
1.03505
1.12962
0.981598
0.668604
0.611053
0.276511
0.533106
1.70001
3.15513
4.07388
-0.515092
-3.31541
-2.0309
-2.0883
-2.97557
-1.23651
-2.0128
-7.07841
-9.77027
-20.2331
-17.543
4.2931
-0.731846
2.38465
-3.7481
-2.43167
4.46714
0.554673
0.489245
-7.02641
-1.89511
3.68315
0.405524
-1.98728