train.dat

Single Output 神经网络实例演示1

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1.529425 2.938046 4.673990 2.562401 0.749373 
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2.570455 0.326364 1.278804 0.123489 1.942039 
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4.168336 5.627388 4.856731 1.574104 -1.455015 
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2.345912 0.894913 0.380439 5.208215 0.986247 
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0.845824 0.535376 3.986362 4.110810 -0.313579 
3.019542 1.130962 3.393461 3.792691 0.171296 
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1.822233 2.585603 3.993266 4.014358 -0.022153 
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3.357411 1.351670 3.151851 3.452329 0.445922 
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2.658086 0.501052 1.405745 4.465938 0.961860 
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3.260192 1.304499 1.843901 0.276125 2.081998 
5.499872 1.960295 1.079955 4.367952 0.160140 
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3.625099 3.792116 0.801338 1.753202 0.631208 
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3.511389 6.269187 0.437198 4.052901 -0.742327 
1.107951 2.628364 5.390765 3.282436 0.466807 
4.015317 1.752243 5.848097 0.876889 0.564120 
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0.171428 1.136139 2.633734 5.702748 1.015521 
2.708326 3.752615 1.766625 0.035474 0.862487 
0.201916 1.673624 2.399794 5.043116 0.925073 
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5.610131 2.706983 1.841600 5.792680 0.290163 
6.009745 5.569671 0.669028 3.668435 -0.807124 
4.628353 0.195589 5.448291 4.817422 -2.537842 
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4.810710 0.960301 0.089549 2.338817 0.632910 
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4.765648 6.124413 4.585400 5.882996 -2.538228 
2.212643 0.919458 4.364692 3.698349 0.127670 
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3.342263 2.217245 6.256340 2.820310 0.887844 
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6.158162 2.679179 3.790199 5.630073 -0.890326 
5.880695 2.491644 4.822791 2.607272 -0.271221 
3.985595 4.166035 3.156070 4.717710 -2.616196 
3.636221 1.614756 3.703718 2.708901 0.410660 
0.415721 0.935949 0.200958 1.276694 2.365683 
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3.525962 5.990953 1.301622 3.395954 0.049298 
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2.295289 0.593477 0.350142 2.421079 2.310884 
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1.722329 4.350310 5.042157 6.173310 -1.002393 
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0.369892 0.416680 2.059624 6.088172 1.455347 
2.753004 2.162979 4.459993 4.943979 -0.733013 
1.623960 3.538618 3.188093 3.445618 0.266064 
6.022784 1.051001 3.817044 2.732103 0.383344 
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2.092030 2.934595 4.699302 6.087021 -0.122094 
1.744189 2.839677 0.508147 5.493353 1.058678 
3.423758 3.810908 0.144199 0.027996 -0.727193 
4.796329 4.326150 5.476862 1.599607 -1.644974 
2.415326 2.713311 4.147244 2.013795 1.138350 
2.728460 5.760082 1.077079 1.764707 1.763745 
5.605720 0.371810 3.743411 1.580432 0.170294 
5.356441 4.716751 1.481104 5.614349 -1.423753 
0.789065 4.269966 1.050425 0.350334 1.016824 
2.732678 2.296631 1.643519 2.096057 3.008109 
5.440237 2.750703 2.986368 5.183671 -1.101982 
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0.333651 3.744178 0.571809 6.016648 0.038482 
3.994608 1.679185 2.362019 3.367191 0.720152 
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0.614186 2.627214 1.938819 3.730372 1.445982 
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3.493173 0.487629 2.192125 0.334035 1.265114 
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2.224723 2.109288 5.425664 5.682613 0.330847 
1.768350 0.209970 3.023377 2.938813 1.508314 
4.372937 2.612065 4.010523 3.389626 -1.446949 
3.055975 0.776410 6.223933 5.759315 0.226783 
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