#input normalization
1 0
1 0
1 0
1 0
1 0
1 0
1 0
#output normalization
1 0
#neurons weights
-0.387992
-0.327838
0.221301
-0.463981
-0.315068
-0.38225
0.214043
-1.12121
-1.2493
28.7621
-2.23222
-1.07209
-4.61166
-4.22495
-0.364811
1.81518
2.902
1.99826
-0.955352
-0.0692391
#synapses weights
1.65358
1.16744
-0.228944
-0.138174
0.63558
-0.582081
-0.217889
-0.290578
-0.390877
-0.61242
-0.153425
-0.0444455
-0.00962249
0.0865743
-3.5071
-1.78517
-1.93503
-3.75686
-7.5605
-20.1591
-0.145039
-1.20555
-0.356305
-0.36293
-0.205073
-0.24289
0.394796
-0.174183
0.275566
0.704408
0.439636
0.892545
1.04705
0.777446
0.188324
-1.85906
-0.958119
0.794117
1.26386
1.2438
0.918555
-0.817792
0.544983
-0.767372
-1.40895
-0.315035
0.411412
0.0193068
-1.16296
0.731438
0.966586
0.892037
0.741368
1.14184
1.23515
0.078125
-0.444668
-0.858017
0.281993
-0.450058
0.492243
0.410658
0.42449
-0.759435
-0.146299
-0.199281
0.0148456
-1.04502
-1.80138
0.920412
0.108075
1.04727
1.85485
0.597272
0.188916
0.567029
0.575224
1.12911
0.260035
-0.63199
-0.82372
-0.466891
-0.0603795
0.524926
0.448377
0.248907
-2.06573
0.766323
0.0340302
2.2369
3.65676
0.240971
-0.316067
0.744107
0.194728
0.344406