train.dat

Single Output 神经网络实例演示1

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3.753382 3.166425 2.210725 2.497780 0.803224 
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3.000174 1.365476 3.031622 1.240645 2.175685 
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2.348021 0.306422 6.088747 1.080914 1.703685 
4.844076 3.474764 2.277072 1.829328 0.409167 
2.910242 3.052907 0.381398 0.813610 1.416852 
5.508501 1.720604 1.053110 4.562965 0.169419 
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3.669969 1.057904 0.813035 5.146471 0.186316 
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2.508519 2.848881 2.838143 1.333645 2.151001 
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0.269797 1.425879 5.300832 2.642554 0.902829 
0.685902 1.149945 5.332472 4.848678 -0.258445 
6.272255 3.555109 5.779641 4.978686 -1.860047 
3.493364 0.417639 5.003998 2.047543 -0.008248 
3.578311 5.487025 4.810902 2.852716 -1.847920 
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1.579665 5.230842 5.374466 2.108713 0.201435 
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1.497211 3.131909 0.192137 0.832018 1.937226 
2.032970 6.197280 3.841972 2.703532 0.588962 
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0.476891 3.795376 1.836423 1.956844 1.742158 
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3.446001 2.041599 4.730366 5.923072 -0.760743 
1.355505 3.639672 1.943613 0.322338 1.747265 
2.177744 2.785411 0.416105 2.361635 2.277541 
4.143792 2.691643 6.222208 0.092042 -0.376765 
2.285126 5.613007 3.421457 2.889533 0.107581 
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1.002871 5.786544 4.225095 0.457715 -0.075161 
0.774300 0.428377 5.603611 0.659824 1.099127 
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1.280338 4.893548 0.300094 2.136709 1.114187 
2.646006 0.238350 5.692009 4.723846 -0.845625 
3.454438 3.728838 1.980238 3.740918 -0.508579 
5.708500 3.382914 2.190016 0.600764 0.597047 
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