#input normalization
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
-0.123162
0.423946
0.0787757
0.289647
0.102334
-0.037369
0.419236
-0.115794
-0.250653
0.0975916
4.36781
-11.6009
10.1833
8.13043
9.71359
-4.89727
-5.91961
-5.58283
44.3279
-5.22111
4.73204
3.17347
-0.297215
#synapses weights
-0.242883
-1.2079
-0.879556
-1.83627
-0.859167
-0.463855
0.428683
1.80121
1.94514
3.41827
-0.44918
-0.994086
-1.11315
-2.75226
-2.79599
-3.63356
-4.27225
-6.00657
-6.49006
-8.41621
-0.0607936
-0.756461
-0.547809
0.116511
0.483974
0.660765
0.934252
0.677446
-0.0791392
2.57342
-5.72591
-4.05187
-3.4446
-2.63987
-2.89866
2.93308
3.57747
2.00587
4.9921
5.68527
1.37464
1.02627
1.29624
1.26644
1.39689
2.25353
2.80388
3.06421
3.34388
5.58823
0.613209
0.347256
0.231026
-0.157508
-0.255984
-1.91156
-2.50219
-1.08425
-2.79097
-2.88276
-3.93703
-1.42942
-0.140465
1.55703
-0.986181
0.640342
-1.16632
-4.5908
-2.78323
-4.08317
-1.73346
-2.70272
-3.35081
-2.72493
-2.86063
-1.74067
-2.46299
-2.21875
-1.87285
-3.03122
-6.59238
-0.333947
-7.06967
0.538112
-5.19345
-1.88952
-11.8878
-18.1721
-10.9544
-0.693889
-3.98817
-4.51219
-3.71727
-1.41823
-4.30946
1.92906
0.405759
-5.41544
-1.62896
-3.79195
-0.050602
0.208155
0.849338
0.967923
1.47222
1.51211
2.1781
2.0426
1.53364
2.42776
2.17266
2.58106
3.36388
5.0947
3.46841
5.15969
3.17962
0.358168
0.326173
-0.193489
2.09644
-1.67063
-6.51736
1.6808
0.00582768
-1.30541
5.19536
3.63156
-1.99265
-2.52708
0.1862
3.84534