#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
0
0
0
0
0
0
0
0
0
-48.4808
-48.2036
-48.4354
-48.5099
-48.418
-48.4505
-48.4656
-48.2934
-48.2858
-48.4427
-48.4802
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-48.4356
-48.4293
-48.0888
-48.0358
-47.7719
-48.454
-48.0034
-48.4369
-0.986486
#synapses weights
0.600408
0.794769
9.11502
3.74933
5.39448
9.80022
13.1748
14.5388
6.41372
-9.65154
0.104213
0.68545
9.57291
3.87886
5.4896
9.8032
13.1131
14.4135
6.33968
-9.61626
0.442938
0.751949
9.25305
3.78131
5.41356
9.78608
13.1364
14.4753
6.36242
-9.67339
0.661816
0.823822
9.06043
3.74918
5.40319
9.82606
13.2102
14.5802
6.44446
-9.64073
0.428011
0.740973
9.22614
3.76391
5.40117
9.78309
13.1389
14.4829
6.37205
-9.66166
0.552823
0.785162
9.15593
3.76155
5.40528
9.80497
13.1742
14.5319
6.41122
-9.64438
0.58118
0.791897
9.13451
3.75618
5.40071
9.8038
13.1761
14.5373
6.41427
-9.64667
0.262068
0.719475
9.42627
3.83481
5.45545
9.79778
13.1281
14.4494
6.35978
-9.63019
0.243538
0.714435
9.43981
3.83773
5.45729
9.7966
13.1248
14.444
6.35598
-9.63046
0.528836
0.777565
9.16934
3.76276
5.40573
9.80268
13.1695
14.5246
6.4056
-9.64603
0.599776
0.794703
9.11575
3.74961
5.39474
9.80038
13.1749
14.5387
6.41378
-9.65132
0.684473
0.829176
9.04691
3.74628
5.40079
9.82599
13.2124
14.5849
6.44781
-9.64072
0.265431
0.665865
9.30495
3.75573
5.3818
9.73129
13.0643
14.3857
6.28327
-9.72825
0.353503
0.711775
9.28963
3.77403
5.40196
9.76096
13.1015
14.4311
6.32423
-9.69781
0.470943
0.610829
11.0765
4.25578
5.62894
9.51786
12.5593
13.6091
5.64947
-10.0485
0.121043
0.590722
10.594
4.11002
5.54778
9.57402
12.7142
13.8596
5.88401
-9.86772
0.373578
0.737664
11.3026
4.4273
5.80793
9.71809
12.7648
13.8056
5.85792
-9.81471
0.524568
0.783605
9.19021
3.77638
5.41675
9.80765
13.1703
14.5204
6.39944
-9.65396
0.0915789
0.486821
11.2808
4.25153
5.58011
9.40565
12.4156
13.437
5.5149
-10.1102
0.448761
0.754188
9.24849
3.78079
5.41359
9.78746
13.1386
14.4783
6.36485
-9.67222
0.723459
0.0720061
0.557329
0.810084
0.501907
0.646712
0.687729
0.318904
0.29654
0.617075
0.722119
0.831402
0.310656
0.44548
-2.0772
-0.477804
-2.01616
0.657173
-2.23474
0.564871