30-case-studies
代码说明:
MATLAB神经网络30个案例分析__读者调用案例的时候,只要把案例中的数据换成自己需要处理的数据,即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序),包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。(30 case studies of the MATLAB Neural Network __ readers call the case, as long as the data in the case replaced by the data they need to be addressed, you can achieve your desired network. A total of 30 MATLAB neural network case (including running the program) in the book, including BP, RBF, SVM, the SOM, Hopfield, on LVQ, Elman, wavelet neural network also contains the PSO (Particle Swarm), gray neural network, fuzzy networks, probabilistic neural networks, genetic algorithms optimization. )
文件列表:
MATLAB神经网络30个案例分析_MATLAB中文论坛_2010_P286.pdf,6132654,2011-10-17
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,3837,2010-01-30
......\...........................................\BPDLX.m,3905,2010-01-30
......\...........................................\data1.mat,93015,2009-08-29
......\...........................................\data2.mat,92845,2009-08-29
......\...........................................\data3.mat,92937,2009-08-29
......\...........................................\data4.mat,93438,2009-08-29
......\案例10 离散Hopfield神经网络的分类——高校科研能力评价
......\.....................................................\chapter10.m,3369,2010-01-30
......\.....................................................\class.mat,443,2009-10-06
......\.....................................................\sim.mat,465,2009-10-06
......\.....................................................\stdlib.m,2235,2010-01-30
......\.....................................................\test.m,2775,2010-01-30
......\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,232,2009-09-21
......\....................................................\diff_u.m,217,2009-12-21
......\....................................................\energy.m,247,2010-01-30
......\....................................................\main.m,5152,2010-01-30
......\案例12 SVM神经网络的数据分类预测-葡萄酒种类识别
......\...............................................\chapter12.m,4134,2010-01-30
......\...............................................\chapter12_wine.mat,20168,2010-01-30
......\...............................................\html
......\...............................................\....\chapter12.html,15003,2010-01-30
......\案例13 SVM神经网络中的参数优化---提升分类器性能
......\...............................................\chapter13_GA.m,8171,2010-01-30
......\...............................................\chapter13_GridSearch.m,7762,2010-01-30
......\...............................................\chapter13_PSO.m,10174,2010-01-30
......\...............................................\chapter13_wine.mat,20168,2010-01-30
......\...............................................\html
......\...............................................\....\chapter13.html,28493,2009-11-04
......\...............................................\....\chapter13_05.png,18174,2009-11-04
......\...............................................\....\chapter13_06.png,15252,2009-11-04
......\...............................................\....\chapter13_07.png,9026,2009-11-04
......\...............................................\....\chapter13_GA.html,27311,2010-01-30
......\...............................................\....\chapter13_GA.png,3294,2010-01-30
......\...............................................\....\chapter13_GA_01.png,6809,2010-01-30
......\...............................................\....\chapter13_GA_02.png,10845,2010-01-30
......\...............................................\....\chapter13_GA_03.png,13253,2010-01-30
......\...............................................\....\chapter13_GA_04.png,9059,2010-01-30
......\...............................................\....\chapter13_GridSearch.html,26840,2010-01-30
......\...............................................\....\chapter13_GridSearch.png,3348,2010-01-30
......\...............................................\....\chapter13_GridSearch_01.png,6809,2010-01-30
......\...............................................\....\chapter13_GridSearch_02.png,10845,2010-01-30
......\...............................................\....\chapter13_GridSearch_03.png,12629,2010-01-30
......\...............................................\....\chapter13_GridSearch_04.png,899,2010-01-30
......\...............................................\....\chapter13_GridSearch_05.png,22250,2010-01-30
......\...............................................\....\chapter13_GridSearch_06.png,15799,2010-01-30
......\...............................................\....\chapter13_GridSearch_07.png,9026,2010-01-30
......\...............................................\....\chapter13_PSO.html,34244,2010-01-30
......\...............................................\....\chapter13_PSO.png,3294,2010-01-30
......\...............................................\....\chapter13_PSO_01.png,6809,2010-01-30
......\...............................................\....\chapter13_PSO_02.png,10845,2010-01-30
......\...............................................\....\chapter13_PSO_03.png,14034,2010-01-30
......\...............................................\....\chapter13_PSO_04.png,9059,2010-01-30
......\案例14 SVM神经网络的回归预测分析---上证开盘指数预测
......\...................................................\chapter14.m,7233,2010-01-30
......\...................................................\chapter14_sh.mat,219976,2010-01-30
......\...................................................\html
......\...................................................\....\chapter14.html,26206,2009-11-10
......\...................................................\....\chapter14_05.png,11885,2009-11-10
......\...................................................\....\chapter14_06.png,10478,2009-11-10
......\案例15 SVM神经网络的信息粒化时序回归预测
......\........................................\chapter15.m,11079,2009-11-13
......\........................................\chapter15_sh.mat,256680,2010-01-30
......\........................................\FIG_D.m,6456,2009-03-21
......\........................................\html
......\........................................\....\chapter15.html,38039,2009-10-03
......\........................................\....\chapter15_05.png,17069,2009-10-03
......\........................................\....\chapter15_06.png,12615,2009-10-03
......\........................................\....\chapter15_07.png,12873,2009-10-03
......\........................................\....\chapter15_08.png,11005,2009-10-03
......\........................................\....\chapter15_09.png,11547,2009-10-03
......\........................................\....\chapter15_10.png,16527,2009-10-03
......\........................................\....\chapter15_11.png,12313,2009-10-03
......\........................................\....\chapter15_12.png,14398,2009-10-03
......\........................................\....\chapter15_13.png,11769,2009-10-03
......\........................................\....\chapter15_14.png,7704,2009-10-03
......\........................................\....\chapter15_15.png,8789,2009-10-03
......\........................................\....\chapter15_16.png,12046,2009-10-03
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