bpn.txt

VC的神经网络开发

0.120000 -0.125099 0.347123 0.444444 0.600000 0.900000 
0.936672 0.162536 0.076582 -0.250000 0.700000 0.900000 
1.007332 0.430123 0.068830 -0.250000 0.500000 0.900000 
1.006570 0.430002 0.064848 0.888889 0.400000 0.900000 
0.946294 -0.448964 0.095992 0.472222 0.100000 0.900000 
0.077847 0.365834 0.481769 0.694444 0.900000 0.900000 
0.105854 0.359061 -0.070431 0.694444 0.900000 0.900000 
0.218576 -0.563439 -0.545976 0.361111 0.100000 0.900000 
0.236636 -0.442457 -0.445487 0.361111 0.100000 0.900000 
0.120000 0.503851 0.476073 -0.361111 0.900000 0.900000 
0.360000 0.184288 -0.065712 0.166667 0.600000 0.900000 
0.272412 0.258607 -0.053949 0.166667 0.600000 0.900000 
0.092029 0.761644 0.601883 0.388889 0.800000 0.900000 
0.942374 -0.272719 -0.001413 0.166667 0.000000 0.900000 
0.543612 -0.564489 0.520575 -0.722222 0.200000 0.900000 
0.500000 -0.545854 0.515257 -0.722222 0.200000 0.900000 
0.978642 -0.245016 -0.025801 0.250000 0.700000 0.900000 
0.976906 -0.248134 -0.189292 0.250000 0.700000 0.900000 
0.909134 -0.247433 -0.432926 0.250000 0.700000 0.900000 
0.120000 0.829061 -0.793161 -0.694444 0.500000 0.900000 
0.260000 0.328466 0.039577 0.083333 0.700000 0.900000 
0.570634 -0.956150 -0.144897 0.694444 0.100000 0.900000 
0.779048 0.764506 -0.204652 0.694444 0.100000 0.900000 
0.565148 0.731928 -0.000079 0.750000 0.100000 0.900000 
0.500000 0.673617 0.001394 0.750000 0.100000 0.900000 
0.220000 0.505835 0.666944 0.027778 0.300000 0.900000 
0.219516 -0.768400 -0.959756 0.027778 0.300000 0.900000 
0.136873 -0.921911 0.871894 -0.861111 0.100000 0.900000 
0.146879 0.458651 0.579672 0.527778 0.700000 0.900000 
0.946152 -0.497148 0.064917 1.000000 0.400000 0.900000 
0.930980 -0.494542 0.068041 1.000000 0.400000 0.900000 
0.129748 0.930578 0.788611 0.111111 0.400000 0.900000 
0.120000 -0.938378 0.944956 0.111111 0.400000 0.900000 
0.238856 0.609400 0.563150 -0.472222 0.100000 0.900000 
0.193921 0.757761 0.612522 -0.388889 0.400000 0.900000 
0.826026 -0.151506 -0.090814 -0.861111 0.700000 0.900000 
0.137813 -0.072016 -0.496142 0.055556 0.200000 0.900000 
0.111289 -0.239783 -0.648400 0.055556 0.200000 0.900000 
0.242274 0.755761 0.746739 1.000000 0.400000 0.900000 
0.287370 -0.309496 -0.426107 0.027778 0.700000 0.900000 
0.320000 -0.306868 -0.423534 0.027778 0.700000 0.900000 
0.297562 -0.021733 -0.541275 0.388889 0.400000 0.900000 
0.274744 -0.019827 -0.516095 0.388889 0.400000 0.900000 
0.524740 0.890522 -0.573044 -0.833333 0.800000 0.900000 
0.805816 0.178259 -0.244002 -0.222222 0.400000 0.900000 
0.158728 -0.680572 -0.888156 0.000000 0.800000 0.900000 
0.611532 -0.613917 0.628017 0.944444 0.400000 0.900000 
0.562884 -0.454411 0.710850 0.944444 0.400000 0.900000 
1.148470 -0.392606 -0.324655 -0.027778 0.700000 0.900000 
0.937516 0.317482 -0.172279 0.416667 0.500000 0.900000 
0.931338 0.316491 -0.167724 0.416667 0.500000 0.900000 
0.500000 0.660106 0.093437 0.916667 0.100000 0.900000 
0.277140 0.478700 0.051037 -0.444444 0.000000 0.900000 
0.300000 0.508778 0.064334 -0.444444 0.000000 0.900000 
 - saving Weights ...
Layer 1:
[1][0]: -0.006793  [1][1]: -0.032778  [1][2]: 0.015189  [1][3]: 0.449540  [1][4]: 0.114858  [1][5]: -0.324112  
[2][0]: 0.018594  [2][1]: 0.408824  [2][2]: 0.228964  [2][3]: -0.363435  [2][4]: -0.333733  [2][5]: -0.454535  
[3][0]: 0.017465  [3][1]: 0.423186  [3][2]: -0.308073  [3][3]: 0.404409  [3][4]: 0.349689  [3][5]: -0.335374  
[4][0]: -0.012778  [4][1]: -0.352495  [4][2]: 0.349192  [4][3]: 0.264820  [4][4]: -0.211836  [4][5]: 0.043948  
[5][0]: -0.011217  [5][1]: 0.322302  [5][2]: 0.140490  [5][3]: -0.183316  [5][4]: -0.234997  [5][5]: -0.497142  
[6][0]: -0.005533  [6][1]: 0.439900  [6][2]: -0.125179  [6][3]: 0.249366  [6][4]: 0.467031  [6][5]: 0.208756  
[7][0]: -0.018510  [7][1]: 0.006036  [7][2]: 0.310104  [7][3]: 0.365921  [7][4]: -0.344684  [7][5]: 0.030726  
[8][0]: -0.017051  [8][1]: -0.268833  [8][2]: -0.229674  [8][3]: -0.191518  [8][4]: 0.193815  [8][5]: 0.319467  
[9][0]: 0.012054  [9][1]: 0.176082  [9][2]: 0.095740  [9][3]: 0.016820  [9][4]: -0.484060  [9][5]: -0.308101  
[10][0]: 0.017285  [10][1]: 0.326255  [10][2]: 0.049425  [10][3]: 0.265861  [10][4]: 0.056428  [10][5]: -0.113735  

Layer 2:
[1][0]: 0.182817  [1][1]: -0.104553  [1][2]: 0.463686  [1][3]: 0.444657  [1][4]: -0.241926  [1][5]: -0.203117  [1][6]: -0.070789  [1][7]: -0.363797  [1][8]: -0.327203  [1][9]: 0.314519  [1][10]: 0.434044  
 - saving Weights ...
Layer 1:
[1][0]: -0.009033  [1][1]: -0.033858  [1][2]: 0.014938  [1][3]: 0.449370  [1][4]: 0.114365  [1][5]: -0.325219  
[2][0]: 0.032200  [2][1]: 0.415477  [2][2]: 0.230523  [2][3]: -0.362735  [2][4]: -0.330878  [2][5]: -0.448105  
[3][0]: 0.030536  [3][1]: 0.429472  [3][2]: -0.306470  [3][3]: 0.405180  [3][4]: 0.352484  [3][5]: -0.329087  
[4][0]: -0.018802  [4][1]: -0.355378  [4][2]: 0.348435  [4][3]: 0.264426  [4][4]: -0.213106  [4][5]: 0.041006  
[5][0]: -0.016210  [5][1]: 0.319860  [5][2]: 0.139930  [5][3]: -0.183610  [5][4]: -0.236044  [5][5]: -0.499543  
[6][0]: -0.006568  [6][1]: 0.439410  [6][2]: -0.125284  [6][3]: 0.249264  [6][4]: 0.466810  [6][5]: 0.208217  
[7][0]: -0.027940  [7][1]: 0.001471  [7][2]: 0.308952  [7][3]: 0.365345  [7][4]: -0.346700  [7][5]: 0.026152  
[8][0]: -0.025531  [8][1]: -0.272933  [8][2]: -0.230672  [8][3]: -0.192032  [8][4]: 0.192006  [8][5]: 0.315361  
[9][0]: 0.021520  [9][1]: 0.180692  [9][2]: 0.096880  [9][3]: 0.017300  [9][4]: -0.482089  [9][5]: -0.303617  
[10][0]: 0.030298  [10][1]: 0.332514  [10][2]: 0.050985  [10][3]: 0.266541  [10][4]: 0.059168  [10][5]: -0.107518  

Layer 2:
[1][0]: 0.296597  [1][1]: -0.051279  [1][2]: 0.519028  [1][3]: 0.505216  [1][4]: -0.189346  [1][5]: -0.150152  [1][6]: -0.002698  [1][7]: -0.307549  [1][8]: -0.270229  [1][9]: 0.367635  [1][10]: 0.495514  
 - saving Weights ...
Layer 1:
[1][0]: -0.009667  [1][1]: -0.034154  [1][2]: 0.014864  [1][3]: 0.449318  [1][4]: 0.114222  [1][5]: -0.325540  
[2][0]: 0.041657  [2][1]: 0.419972  [2][2]: 0.231680  [2][3]: -0.362244  [2][4]: -0.328883  [2][5]: -0.443564  
[3][0]: 0.039711  [3][1]: 0.433761  [3][2]: -0.305272  [3][3]: 0.405725  [3][4]: 0.354455  [3][5]: -0.324603  
[4][0]: -0.021860  [4][1]: -0.356800  [4][2]: 0.348024  [4][3]: 0.264232  [4][4]: -0.213752  [4][5]: 0.039497  
[5][0]: -0.018598  [5][1]: 0.318725  [5][2]: 0.139643  [5][3]: -0.183745  [5][4]: -0.236546  [5][5]: -0.500705  
[6][0]: -0.006265  [6][1]: 0.439553  [6][2]: -0.125237  [6][3]: 0.249263  [6][4]: 0.466864  [6][5]: 0.208347  
[7][0]: -0.033102  [7][1]: -0.000958  [7][2]: 0.308277  [7][3]: 0.365039  [7][4]: -0.347805  [7][5]: 0.023619  
[8][0]: -0.030072  [8][1]: -0.275066  [8][2]: -0.231244  [8][3]: -0.192297  [8][4]: 0.191035  [8][5]: 0.313137  
[9][0]: 0.028319  [9][1]: 0.183912  [9][2]: 0.097750  [9][3]: 0.017648  [9][4]: -0.480663  [9][5]: -0.300343  
[10][0]: 0.039464  [10][1]: 0.336799  [10][2]: 0.052154  [10][3]: 0.267021  [10][4]: 0.061107  [10][5]: -0.103070  

Layer 2:
[1][0]: 0.368849  [1][1]: -0.017523  [1][2]: 0.554377  [1][3]: 0.543794  [1][4]: -0.155949  [1][5]: -0.116730  [1][6]: 0.040438  [1][7]: -0.271995  [1][8]: -0.234158  [1][9]: 0.401520  [1][10]: 0.534768  
 - saving Weights ...
Layer 1:
[1][0]: -0.009749  [1][1]: -0.034190  [1][2]: 0.014857  [1][3]: 0.449306  [1][4]: 0.114202  [1][5]: -0.325588  
[2][0]: 0.048551  [2][1]: 0.423173  [2][2]: 0.232565  [2][3]: -0.361892  [2][4]: -0.327424  [2][5]: -0.440214  
[3][0]: 0.046436  [3][1]: 0.436832  [3][2]: -0.304353  [3][3]: 0.406120  [3][4]: 0.355904  [3][5]: -0.321278  
[4][0]: -0.023623  [4][1]: -0.357600  [4][2]: 0.347775  [4][3]: 0.264125  [4][4]: -0.214125  [4][5]: 0.038619  
[5][0]: -0.019896  [5][1]: 0.318122  [5][2]: 0.139479  [5][3]: -0.183815  [5][4]: -0.236818  [5][5]: -0.501341  
[6][0]: -0.005623  [6][1]: 0.439845  [6][2]: -0.125146  [6][3]: 0.249291  [6][4]: 0.466990  [6][5]: 0.208653  
[7][0]: -0.036291  [7][1]: -0.002425  [7][2]: 0.307838  [7][3]: 0.364857  [7][4]: -0.348486  [7][5]: 0.022040  
[8][0]: -0.032823  [8][1]: -0.276329  [8][2]: -0.231609  [8][3]: -0.192451  [8][4]: 0.190446  [8][5]: 0.311778  
[9][0]: 0.033368  [9][1]: 0.186249  [9][2]: 0.098427  [9][3]: 0.017903  [9][4]: -0.479602  [9][5]: -0.297883  
[10][0]: 0.046196  [10][1]: 0.339874  [10][2]: 0.053054  [10][3]: 0.267366  [10][4]: 0.062532  [10][5]: -0.099765  

Layer 2:
[1][0]: 0.418700  [1][1]: 0.005739  [1][2]: 0.578862  [1][3]: 0.570455  [1][4]: -0.132881  [1][5]: -0.093762  [1][6]: 0.070152  [1][7]: -0.247525  [1][8]: -0.209298  [1][9]: 0.424977  [1][10]: 0.561952  
 - saving Weights ...
Layer 1:
[1][0]: -0.009624  [1][1]: -0.034132  [1][2]: 0.014876  [1][3]: 0.449310  [1][4]: 0.114227  [1][5]: -0.325530  
[2][0]: 0.053824  [2][1]: 0.425571  [2][2]: 0.233269  [2][3]: -0.361626  [2][4]: -0.326307  [2][5]: -0.437626  
[3][0]: 0.051598  [3][1]: 0.439141  [3][2]: -0.303620  [3][3]: 0.406419  [3][4]: 0.357017  [3][5]: -0.318701  
[4][0]: -0.024741  [4][1]: -0.358097  [4][2]: 0.347611  [4][3]: 0.264058  [4][4]: -0.214361  [4][5]: 0.038058  
[5][0]: -0.020669  [5][1]: 0.317770  [5][2]: 0.139377  [5][3]: -0.183855  [5][4]: -0.236981  [5][5]: -0.501723  
[6][0]: -0.004923  [6][1]: 0.440156  [6][2]: -0.125045  [6][3]: 0.249324  [6][4]: 0.467129  [6][5]: 0.208995  
[7][0]: -0.038448  [7][1]: -0.003396  [7][2]: 0.307528  [7][3]: 0.364738  [7][4]: -0.348947  [7][5]: 0.020963  
[8][0]: -0.034653  [8][1]: -0.277151  [8][2]: -0.231862  [8][3]: -0.192550  [8][4]: 0.190056  [8][5]: 0.310867  
[9][0]: 0.037275  [9][1]: 0.188021  [9][2]: 0.098971  [9][3]: 0.018096  [9][4]: -0.478780  [9][5]: -0.295960  
[10][0]: 0.051369  [10][1]: 0.342189  [10][2]: 0.053773  [10][3]: 0.267625  [10][4]: 0.063627  [10][5]: -0.097201  

Layer 2:
[1][0]: 0.455431  [1][1]: 0.022864  [1][2]: 0.596951  [1][3]: 0.590113  [1][4]: -0.115858  [1][5]: -0.076890  [1][6]: 0.092019  [1][7]: -0.229521  [1][8]: -0.190986  [1][9]: 0.442299  [1][10]: 0.582031  
 - saving Weights ...
Layer 1:
[1][0]: -0.009421  [1][1]: -0.034041  [1][2]: 0.014906  [1][3]: 0.449319  [1][4]: 0.114270  [1][5]: -0.325431  
[2][0]: 0.058011  [2][1]: 0.427439  [2][2]: 0.233849  [2][3]: -0.361418  [2][4]: -0.325420  [2][5]: -0.435552  
[3][0]: 0.055706  [3][1]: 0.440943  [3][2]: -0.303017  [3][3]: 0.406654  [3][4]: 0.357904  [3][5]: -0.316631  
[4][0]: -0.025499  [4][1]: -0.358428  [4][2]: 0.347496  [4][3]: 0.264015  [4][4]: -0.214521  [4][5]: 0.037674  
[5][0]: -0.021162  [5][1]: 0.317550  [5][2]: 0.139310  [5][3]: -0.183880  [5][4]: -0.237084  [5][5]: -0.501969  
[6][0]: -0.004251  [6][1]: 0.440449  [6][2]: -0.124947  [6][3]: 0.249356  [6][4]: 0.467263  [6][5]: 0.209328  
[7][0]: -0.040002  [7][1]: -0.004083  [7][2]: 0.307297  [7][3]: 0.364654  [7][4]: -0.349278  [7][5]: 0.020181  
[8][0]: -0.035951  [8][1]: -0.277724  [8][2]: -0.232048  [8][3]: -0.192618  [8][4]: 0.189779  [8][5]: 0.310215  
[9][0]: 0.040403  [9][1]: 0.189412  [9][2]: 0.099422  [9][3]: 0.018248  [9][4]: -0.478121  [9][5]: -0.294407  
[10][0]: 0.055491  [10][1]: 0.343998  [10][2]: 0.054366  [10][3]: 0.267827  [10][4]: 0.064500  [10][5]: -0.095139  

Layer 2:
[1][0]: 0.483812  [1][1]: 0.036086  [1][2]: 0.610949  [1][3]: 0.605302  [1][4]: -0.102683  [1][5]: -0.063888  [1][6]: 0.108896  [1][7]: -0.215621  [1][8]: -0.176835  [1][9]: 0.455704  [1][10]: 0.597571  
 - saving Weights ...
Layer 1:
[1][0]: -0.009191  [1][1]: -0.033941  [1][2]: 0.014940  [1][3]: 0.449330  [1][4]: 0.114319  [1][5]: -0.325317