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MATLAB-neural-net30

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30 examples in matlab neural network, the file is both the source code, PHF file corresponding
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MATLAB神经网络30个案例分析\MATLAB神经网络30个案例分析.pdf
..........................\源程序\案例1 BP神经网络的数据分类-语音特征信号分类\BP.m
..........................\......\...........................................\BPDLX.m
..........................\......\...........................................\data1.mat
..........................\......\...........................................\data2.mat
..........................\......\...........................................\data3.mat
..........................\......\...........................................\data4.mat
..........................\......\.....0 离散Hopfield神经网络的分类——高校科研能力评价\chapter10.m
..........................\......\.....................................................\class.mat
..........................\......\.....................................................\sim.mat
..........................\......\.....................................................\stdlib.m
..........................\......\.....................................................\test.m
..........................\......\.....1 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
..........................\......\.....2 SVM神经网络的数据分类预测-葡萄酒种类识别\chapter12.m
..........................\......\...............................................\chapter12_wine.mat
..........................\......\...............................................\html\chapter12.html
..........................\......\...............................................\....\chapter12.png
..........................\......\...............................................\....\chapter12_01.png
..........................\......\...............................................\....\chapter12_02.png
..........................\......\...............................................\....\chapter12_03.png
..........................\......\.....3 SVM神经网络中的参数优化---提升分类器性能\chapter13_GA.m
..........................\......\...............................................\chapter13_GridSearch.m
..........................\......\...............................................\chapter13_PSO.m
..........................\......\...............................................\chapter13_wine.mat
..........................\......\...............................................\html\chapter13.html
..........................\......\...............................................\....\chapter13.png
..........................\......\...............................................\....\chapter13_01.png
..........................\......\...............................................\....\chapter13_02.png
..........................\......\...............................................\....\chapter13_03.png
..........................\......\...............................................\....\chapter13_04.png
..........................\......\...............................................\....\chapter13_05.png
..........................\......\...............................................\....\chapter13_06.png
..........................\......\...............................................\....\chapter13_07.png
..........................\......\...............................................\....\chapter13_GA.html
..........................\......\...............................................\....\chapter13_GA.png
..........................\......\...............................................\....\chapter13_GA_01.png
..........................\......\...............................................\....\chapter13_GA_02.png
..........................\......\...............................................\....\chapter13_GA_03.png
..........................\......\..............................
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