#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
-0.352673
0.37186
-0.487232
0.174023
0.323531
-0.19684
-0.471191
0.354011
-0.355827
-0.2444
0.384809
28.5405
-1.32075
-0.325657
-4.21528
-42.5666
0.963572
13.3297
-6.61857
-1.40907
5.63428
-6.28566
-5.44935
1.6677
#synapses weights
10.211
13.6247
14.3719
14.9912
15.8654
15.1927
14.7878
12.9184
12.1158
12.0261
16.2129
0.107731
0.153141
0.0554563
0.350416
-0.502301
-0.0888371
0.335096
-0.538631
0.548979
-1.07199
0.329721
0.563151
0.822181
-0.172963
-0.862712
-1.41537
-2.27009
-2.54947
-2.77364
-2.99106
-3.17471
-2.69982
0.181734
-0.564264
-0.654485
-0.681592
-1.45605
-1.70599
-1.25176
-1.57901
-1.57628
-2.50919
-2.27008
4.57807
1.52051
3.66625
2.14597
-1.09433
7.99369
4.15191
8.81127
20.237
8.81082
-2.17962
1.0733
1.93922
2.09415
2.96478
2.83014
2.7027
2.21354
1.681
1.62339
1.77432
0.354864
0.873429
1.77658
2.39616
2.85477
3.26457
4.10821
5.42163
7.31241
8.84754
10.6094
12.5163
-1.24765
-1.80863
-2.23316
-1.97162
-2.15957
-2.89961
-3.12396
-3.65187
-3.19001
-3.88983
-4.66102
0.446628
-0.156752
-1.22215
-1.39458
-1.75503
-2.38472
-2.76029
-2.01226
-2.3802
-1.84781
-1.81077
2.59554
2.85587
1.93824
1.64512
0.56475
-0.577444
-0.142958
0.38237
0.623067
1.13219
1.95463
0.0928816
-0.027568
-0.248734
-1.03415
-1.41361
-1.1654
-1.98967
-2.44961
-2.77965
-2.85525
-4.08623
-2.28919
-2.33204
-3.44752
-3.60666
-3.4487
-3.71682
-3.64866
-3.73246
-3.05461
-2.78371
-3.21866
11.0751
-0.702107
-0.229406
2.22836
1.99278
-0.574074
-10.789
-4.88157
3.00605
-2.26563
2.2187
-6.80936