文件名称:MATLAB-NNA-of-43-cases

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  • 书籍源码
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2015-11-06
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  • 6.41mb
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提供《MATLAB神经网络43个案例分析》一书中第9-11,26-31,36章代码。-This is the code of 9th to 11th, 26th-31th chapter 4th in the book of MATLAB neural network analysis of 43 cases.
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下载文件列表





chapter10

.........\Readme.txt

.........\chapter10.m

.........\class.mat

.........\sim.mat

.........\stdlib.m

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

chapter11

.........\Readme.txt

.........\city_location.mat

.........\diff_u.m

.........\energy.m

.........\main.m

chapter26

.........\Readme.txt

.........\chapter26_bp.m

.........\chapter26_lvq.m

.........\crossvalidation_lvq.m

.........\data.mat

chapter27

.........\Images

.........\......\10_1.bmp

.........\......\10_2.bmp

.........\......\10_3.bmp

.........\......\10_4.bmp

.........\......\10_5.bmp

.........\......\1_1.bmp

.........\......\1_2.bmp

.........\......\1_3.bmp

.........\......\1_4.bmp

.........\......\1_5.bmp

.........\......\2_1.bmp

.........\......\2_2.bmp

.........\......\2_3.bmp

.........\......\2_4.bmp

.........\......\2_5.bmp

.........\......\3_1.bmp

.........\......\3_2.bmp

.........\......\3_3.bmp

.........\......\3_4.bmp

.........\......\3_5.bmp

.........\......\4_1.bmp

.........\......\4_2.bmp

.........\......\4_3.bmp

.........\......\4_4.bmp

.........\......\4_5.bmp

.........\......\5_1.bmp

.........\......\5_2.bmp

.........\......\5_3.bmp

.........\......\5_4.bmp

.........\......\5_5.bmp

.........\......\6_1.bmp

.........\......\6_2.bmp

.........\......\6_3.bmp

.........\......\6_4.bmp

.........\......\6_5.bmp

.........\......\7_1.bmp

.........\......\7_2.bmp

.........\......\7_3.bmp

.........\......\7_4.bmp

.........\......\7_5.bmp

.........\......\8_1.bmp

.........\......\8_2.bmp

.........\......\8_3.bmp

.........\......\8_4.bmp

.........\......\8_5.bmp

.........\......\9_1.bmp

.........\......\9_2.bmp

.........\......\9_3.bmp

.........\......\9_4.bmp

.........\......\9_5.bmp

.........\......\Thumbs.db

.........\Readme.txt

.........\chapter27_bp.m

.........\chapter27_lvq.m

.........\chapter_svm.m

.........\crossvalind_lvq.m

.........\feature_extraction.m

.........\lvq1_train.m

.........\lvq2_train.m

.........\lvq_predict.m

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

chapter28

.........\Readme.txt

.........\data.mat

.........\main_2009a.m

.........\main_2012b.m

chapter29

.........\classification

.........\..............\Readme.txt

.........\..............\data.mat

.........\..............\elmpredict.m

.........\..............\elmtrain.m

.........\..............\main.m

.........\regression

.........\..........\Readme.txt

.........\..........\data.mat

.........\..........\elmpredict.m

.........\..........\elmtrain.m

.........\..........\main.m

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