#input normalization
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
-0.224511
-0.476773
0.492154
0.2308
0.453173
0.277547
-0.0844299
0.434764
-0.493691
-0.399896
0.490758
3.96295
3.4564
-0.862251
-4.69282
3.34214
-4.1049
-22.6011
-2.5102
-2.47359
-0.278904
0.696781
-11.8668
-3.69208
#synapses weights
-0.737641
-1.28297
-0.881527
-0.645429
-0.89323
-1.7942
-1.73749
0.033666
1.24152
1.9733
3.20425
0.432676
0.650563
0.362349
0.680298
-0.202454
0.325501
-0.187422
0.609658
0.78416
0.744439
1.59808
0.333363
-0.181872
1.21734
1.81362
2.28058
1.40365
0.34307
-1.26593
-2.24297
-2.76052
-2.61955
1.1621
1.50455
2.75722
2.08822
1.75656
1.94538
2.10908
0.712393
-0.0353631
-1.08071
-3.03066
-0.478523
-0.335793
-0.36752
-0.46432
-0.438299
-0.00879469
-0.101112
0.575695
0.444477
1.58169
2.15144
-0.427665
-0.384706
-0.209308
0.315324
-0.0347792
-0.335632
0.0840682
0.289361
0.265561
-0.0506289
-1.20097
1.45023
2.3904
2.2913
0.471749
1.62747
2.1049
1.42997
7.75425
8.93534
6.32923
-3.52939
-0.10796
0.0476591
-0.711998
-0.0462226
0.00363534
0.286713
-0.472095
-0.692534
-0.24328
-1.0852
-0.901951
-0.0759288
-0.493231
-0.472877
-0.0256687
-0.262212
0.126175
-0.651832
-0.194911
-0.770311
-0.75858
-1.59626
1.90048
2.16846
3.13563
2.90552
3.26302
2.62019
2.47409
2.3846
1.85858
0.612176
-0.0305796
-2.17597
-3.58909
-3.87829
-3.79677
-3.65702
-4.01374
-3.95762
-2.68698
-2.62211
-2.22308
-1.25318
1.28439
2.07311
2.29714
0.917326
1.39991
1.65827
1.95297
4.47223
3.73278
1.55723
-3.06561
-7.24546
6.14308
-6.32515
2.05264
4.96939
-2.82167
5.64265
-1.45577
-2.46754
-1.08212
-0.677477
-5.69812