文件名称:matlabxiaSVMizi
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用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取，并以转子故障诊断为例直观的例子-Using MATLAB svm prepared by the source, can achieve a support vector machine for classification or feature extraction, and fault diagnosis of the rotor case intuitive example
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
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| 用MATLAB编写的svm源程序 | 可以实现支持向量机 | 用于特征分类或提取\svm\binomial.m |
| .............................................................\...\centrefig.m | ||
| .............................................................\...\cmap.mat | ||
| .............................................................\...\Contents.m | ||
| .............................................................\...\Examples\Classification\iris1v23.mat | ||
| .............................................................\...\........\..............\iris2v13.mat | ||
| .............................................................\...\........\..............\iris3v12.mat | ||
| .............................................................\...\........\..............\linsep.mat | ||
| .............................................................\...\........\..............\nlinsep.mat | ||
| .............................................................\...\........\Regression\example.mat | ||
| .............................................................\...\........\..........\sinc.mat | ||
| .............................................................\...\........\..........\titanium.mat | ||
| .............................................................\...\newsvm.zip | ||
| .............................................................\...\nobias.m | ||
| .............................................................\...\Optimiser\Makefile | ||
| .............................................................\...\.........\pr_loqo.c | ||
| .............................................................\...\.........\pr_loqo.h | ||
| .............................................................\...\.........\qp.c | ||
| .............................................................\...\.........\qp.dll | ||
| .............................................................\...\qp.dll | ||
| .............................................................\...\README | ||
| .............................................................\...\softmargin.m | ||
| .............................................................\...\svc.m | ||
| .............................................................\...\svcerror.m | ||
| .............................................................\...\svcinfo.m | ||
| .............................................................\...\svcoutput.m | ||
| .............................................................\...\svcplot.m | ||
| .............................................................\...\svdatanorm.m | ||
| .............................................................\...\svkernel.m | ||
| .............................................................\...\svr.m | ||
| .............................................................\...\svrerror.m | ||
| .............................................................\...\svroutput.m | ||
| .............................................................\...\svrplot.m | ||
| .............................................................\...\svtol.m | ||
| .............................................................\...\uiclass.m | ||
| .............................................................\...\uiclass.mat | ||
| .............................................................\...\uiregress.m | ||
| .............................................................\...\uiregress.mat | ||
| .............................................................\...\Examples\Classification | ||
| .............................................................\...\........\Regression | ||
| .............................................................\...\Examples | ||
| .............................................................\...\Optimiser | ||
| .............................................................\svm | ||
| 用MATLAB编写的svm源程序 | 可以实现支持向量机 | 用于特征分类或提取 |
| 提取小波分解的低频高频系数.m | ||
| 信号的离散小波分解——单尺度分解.m |