文件名称:BPneutralNetwork

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bp神经网络分两类.首先在savedata.m里将两类数据分别标记为1和2,然后在nncw.m里将load数据训练,最后在test里load新数据测试。-bp neural network divided into two categories. First, there will be two types of data in savedata.m are labeled 1 and 2, and then load the data in nncw.m in the training, the last load in the test in a new test data.
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下载文件列表





BP神经网络分2类

...............\c1600w1600.mat

...............\cashmere1263.xlsx

...............\cashmere1600.xlsx

...............\cashmere2.mat

...............\checkNNGradients.m

...............\computeNumericalGradient.m

...............\debugInitializeWeights.m

...............\displayData.m

...............\fmincg.m

...............\lib

...............\...\jsonlab

...............\...\.......\AUTHORS.txt

...............\...\.......\ChangeLog.txt

...............\...\.......\jsonopt.m

...............\...\.......\LICENSE_BSD.txt

...............\...\.......\loadjson.m

...............\...\.......\loadubjson.m

...............\...\.......\mergestruct.m

...............\...\.......\README.txt

...............\...\.......\savejson.m

...............\...\.......\saveubjson.m

...............\...\.......\varargin2struct.m

...............\...\makeValidFieldName.m

...............\...\submitWithConfiguration.m

...............\New Folder

...............\..........\c127w64.mat

...............\..........\C1W2.xlsx

...............\..........\Cashmere.xlsx

...............\..........\Theta_one.mat

...............\..........\WOOL.xlsx

...............\..........\WOOL2.mat

...............\..........\WOOL2.xlsx

...............\nnCostFunction.m

...............\nnCW.m

...............\predict.m

...............\randInitializeWeights.m

...............\savedatayuan.m

...............\sigmoid.m

...............\sigmoidGradient.m

...............\submit.m

...............\test.m

...............\Theta_One.mat

...............\wool1600.xlsx

...............\wool2.mat

...............\wool520.xlsx

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