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BP_neural_network_algorithm

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  1. BP神经网络对excel文件数据，小批量训练并且包含交叉验证.py → A BP神经网络（已完成）/BP神经网络对excel文件数据，小批量训练并且包含交叉验证.py +0 -0
  2. BP神经网络，10次10折.py → A BP神经网络（已完成）/BP神经网络，10次10折.py +0 -0
  3. mnist.pkl.gz → A BP神经网络（已完成）/mnist.pkl.gz +0 -0
  4. neural network.py → A BP神经网络（已完成）/neural network.py +0 -0
  5. test.py → A BP神经网络（已完成）/test.py +0 -0
  6. test0.py → A BP神经网络（已完成）/test0.py +0 -0
  7. 神经网络，有留出测试集.py → A BP神经网络（已完成）/神经网络，有留出测试集.py +0 -0
  8. 神经网络，没有留出.py → A BP神经网络（已完成）/神经网络，没有留出.py +0 -0
  9. 神经网络，添加k折交叉验证.py → A BP神经网络（已完成）/神经网络，添加k折交叉验证.py +0 -0
  10. 移除小批量之后的算法.py → A BP神经网络（已完成）/移除小批量之后的算法.py +0 -0
  11. 网络，k折，无测集，小批量梯度下降优化算法.py → A BP神经网络（已完成）/网络，k折，无测集，小批量梯度下降优化算法.py +0 -0
  12. 调包版.py → A BP神经网络（已完成）/调包版.py +0 -0
  13. 算法学习测试数据集/Attributes.txt +40 -0
  14. bal.xls → 算法学习测试数据集/bal.xls +0 -0
  15. gla.xls → 算法学习测试数据集/gla.xls +0 -0
  16. hay.xls → 算法学习测试数据集/hay.xls +0 -0
  17. iri.xls → 算法学习测试数据集/iri.xls +0 -0
  18. new.xls → 算法学习测试数据集/new.xls +0 -0
  19. win.xls → 算法学习测试数据集/win.xls +0 -0
  20. zoo.xls → 算法学习测试数据集/zoo.xls +0 -0
BP神经网络对excel文件数据，小批量训练并且包含交叉验证.py → A BP神经网络（已完成）/BP神经网络对excel文件数据，小批量训练并且包含交叉验证.py RENAMED
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BP神经网络，10次10折.py → A BP神经网络（已完成）/BP神经网络，10次10折.py RENAMED
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mnist.pkl.gz → A BP神经网络（已完成）/mnist.pkl.gz RENAMED
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neural network.py → A BP神经网络（已完成）/neural network.py RENAMED
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test.py → A BP神经网络（已完成）/test.py RENAMED
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test0.py → A BP神经网络（已完成）/test0.py RENAMED
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神经网络，有留出测试集.py → A BP神经网络（已完成）/神经网络，有留出测试集.py RENAMED
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神经网络，没有留出.py → A BP神经网络（已完成）/神经网络，没有留出.py RENAMED
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神经网络，添加k折交叉验证.py → A BP神经网络（已完成）/神经网络，添加k折交叉验证.py RENAMED
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移除小批量之后的算法.py → A BP神经网络（已完成）/移除小批量之后的算法.py RENAMED
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网络，k折，无测集，小批量梯度下降优化算法.py → A BP神经网络（已完成）/网络，k折，无测集，小批量梯度下降优化算法.py RENAMED
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调包版.py → A BP神经网络（已完成）/调包版.py RENAMED
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算法学习测试数据集/Attributes.txt ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 0: denotes that the attribute is number;
2
+ 1: denotes that the attribute is nominal.
3
+
4
+ aut = [0,1,1,1,1,1,1,1,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0];
5
+ aba = [1,0,0,0,0,0,0,0];
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+ bal = [0,0,0,0];
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+ car = [1,1,1,1,1,1];
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+ cle = [0,1,1,0,0,1,1,0,1,0,1,1,1];
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+ con = [0,0,0,0,1,1,0,0,1];
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+ der = [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0];
11
+ eco = [0,0,0,0,0,0,0];
12
+ fla = [1,1,1,1,1,1,1,1,1,1,1];
13
+ gla = [0,0,0,0,0,0,0,0,0];
14
+ hay = [0,0,0,0];
15
+ iri = [0,0,0,0];
16
+ kr-vs-k = [1,1,1,1,1,1];
17
+ led = [1,1,1,1,1,1,1];
18
+ let = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
19
+ lym = [1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,0];
20
+ mar = [0,0,0,0,0,0,0,0,0,0,0,0,0];
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+ mov = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
22
+ new = [0,0,0,0,0];
23
+ nur = [1,1,1,1,1,1,1,1];
24
+ OPT = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
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+ pag = [0,0,0,0,0,0,0,0,0,0];
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+ pen = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
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+ sat = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
28
+ shu = [0,0,0,0,0,0,0,0,0];
29
+ seg = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
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+ spl = [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1];
31
+ tae = [1,1,1,1,0];
32
+ tex = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
33
+ thy = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0];
34
+ veh = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
35
+ vow = [0,0,0,0,0,0,0,0,0,0,0,0,0];
36
+ win = [0,0,0,0,0,0,0,0,0,0,0,0,0];
37
+ wqr = [0,0,0,0,0,0,0,0,0,0,0];
38
+ wqw = [0,0,0,0,0,0,0,0,0,0,0];
39
+ yea = [0,0,0,0,0,0,0,0];
40
+ zoo = [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1];
bal.xls → 算法学习测试数据集/bal.xls RENAMED
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gla.xls → 算法学习测试数据集/gla.xls RENAMED
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hay.xls → 算法学习测试数据集/hay.xls RENAMED
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iri.xls → 算法学习测试数据集/iri.xls RENAMED
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new.xls → 算法学习测试数据集/new.xls RENAMED
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win.xls → 算法学习测试数据集/win.xls RENAMED
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zoo.xls → 算法学习测试数据集/zoo.xls RENAMED
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