文件名称:SHENGJING

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本代码涵盖了所有的神经网络的一个综合的仿真代码,非常的有用。-The code covers all of the neural network, a comprehensive simulation code, very useful.
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SHENGJING

.........\MATLAB神经网络30个案例分析

.........\..........................\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

.........\..........................\......\案例10 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

.........\..........................\......\案例11 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

.........\..........................\......\案例12 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

.........\..........................\......\案例13 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

......

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