#input normalization
1 0
1 0
1 0
1 0
1 0
1 0
#output normalization
1 0
#neurons weights
-0.0768972
0.249194
0.0836922
-0.327128
-0.402717
-0.413545
0.901051
1.32373
-0.0352388
3.14489
4.05915
-7.24398
-4.66093
2.73872
3.70436
6.10891
-4.74338
#synapses weights
-1.24091
-2.4304
0.259629
-1.93551
-1.316
1.12915
3.69162
-2.14272
6.14438
0.225781
-2.25363
-8.20367
2.0532
0.209599
2.32251
-1.40977
-0.74808
-3.33088
-5.96375
2.21176
-6.93394
0.339939
2.05471
3.10398
-10.6115
-1.21718
-7.65448
0.126922
2.00033
10.1828
3.84905
2.92668
0.416952
2.42931
6.45362
0.762363
-0.83958
-0.0147644
-1.54712
3.58935
6.02471
1.21138
-3.0593
-1.21203
0.132557
3.51909
0.961015
-4.50797
0.3773
-3.13504
2.59033
0.297578
-2.95699
-6.83564
-4.35788
4.75654
-4.36019
0.634304
2.24216
1.26585
7.64886
-5.72827
-6.17507
1.79337
-4.84196
6.19913
-5.6942
2.63941
6.50081
3.98849