文件名称:43-cases-code-for-neural-network-
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该压缩包中有史峰等人编写的《MATLAB神经网络43个案例分析》的全部代码及数据。对于MATLAB的初学者很有帮助。-The archive has written the history of Feng et al "MATLAB neural network 43 case studies" of all the code and data. MATLAB is helpful for beginners.
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《MATLAB 神经网络43个案例分析》源代码&数据
..........................................\《MATLAB 神经网络43个案例分析》目录.docx
..........................................\第10章 离散Hopfield神经网络的分类——高校科研能力评价
..........................................\.....................................................\chapter10.m
..........................................\.....................................................\class.mat
..........................................\.....................................................\Readme.txt
..........................................\.....................................................\sim.mat
..........................................\.....................................................\stdlib.m
..........................................\.....................................................\test.m
..........................................\第11章 连续Hopfield神经网络的优化——旅行商问题优化计算
..........................................\.......................................................\city_location.mat
..........................................\.......................................................\diff_u.m
..........................................\.......................................................\energy.m
..........................................\.......................................................\main.m
..........................................\.......................................................\Readme.txt
..........................................\第12章 初始SVM分类与回归
..........................................\........................\Chapter_ClassifyRegressUsingLibsvm.m
..........................................\........................\heart_scale.mat
..........................................\........................\html
..........................................\........................\....\Chapter_ClassifyRegressUsingLibsvm.html
..........................................\........................\....\Chapter_ClassifyRegressUsingLibsvm.png
..........................................\........................\....\Chapter_ClassifyRegressUsingLibsvm_01.png
..........................................\第13章 LIBSVM参数实例详解
..........................................\.........................\Chapter_ModelDecryption.m
..........................................\.........................\heart_scale.mat
..........................................\.........................\html
..........................................\.........................\....\Chapter_ModelDecryption.html
..........................................\第14章 基于SVM的数据分类预测——意大利葡萄酒种类识别
..........................................\....................................................\chapter_WineClass.m
..........................................\....................................................\chapter_WineClass.mat
..........................................\....................................................\html
..........................................\....................................................\....\chapter_WineClass.html
..........................................\....................................................\....\chapter_WineClass.png
..........................................\....................................................\....\chapter_WineClass_01.png
..........................................\....................................................\....\chapter_WineClass_02.png
..........................................\....................................................\....\chapter_WineClass_03.png
..........................................\第15章 SVM的参数优化——如何更好的提升分类器的性能
..........................................\..................................................\chapter_GA.m
..........................................\..................................................\chapter_GridSearch.m
..........................................\..................................................\chapter_PSO.m
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