#input normalization
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
1 0
#output normalization
1 0
#neurons weights
0.376293
-0.0495785
0.0900207
0.0938675
0.111217
0.380848
0.377869
-0.334858
0.0262236
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0.405886
-0.1437
0.0502812
2.99114
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-1.93259
-0.517313
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1.8537
-0.14099
-1.16452
-0.416938
-1.13722
1.75001
-0.261539
0.0756409
0.564889
#synapses weights
0.335742
0.388145
0.254592
0.491626
0.317708
0.365864
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-2.30875
1.20115
0.133472
0.49914
0.176382
0.352226
0.93168
-1.12424
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4.16406
-2.57321
0.559606
0.400238
0.0351975
0.271735
0.263977
0.216574
0.262453
2.33555
-0.27558
0.601365
0.129199
-0.661831
0.447907
0.0174074
-0.741832
-0.523226
-1.61187
2.02692
-0.59904
-4.22369
-0.983837
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0.00677567
-1.30041
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0.668073
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0.265689
0.558727
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5.60137
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0.813107
0.900769
0.0441644
0.451624
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0.630071
2.82405
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0.461884
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0.554813
2.4536
2.03061
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0.0262408
0.191118
1.15805
1.61371
3.35895
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0.652088
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0.543927
0.0155943
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0.727066
0.455916
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0.628468
0.543462
1.67557
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1.59174
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0.898321
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0.528934
0.186119
0.0379606
0.259008
0.36096
0.469751
0.481264
1.67432
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2.84215
0.0645032
0.420445
5.03736
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7.16009
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0.0222055
0.0224507
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0.858774
0.417774
-2.81369
3.57486
0.64452
0.611393
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0.160051
1.6206
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3.72482
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1.71566
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-1.8982
1.1408
1.28746
0.209421
1.27409
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-4.84934
2.16159
2.13707
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4.01279
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3.02715
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-3.22741
5.54984
2.93186
-2.12025