文件名称:SVMmatlab
介绍说明－－下载内容均来自于网络，请自行研究使用
具有非线性回归功能的支持向量机算法。可有效实现目标特征进行训练和识别。-Nonlinear regression functions with support vector machine algorithm. Features can effectively achieve its objectives of training and recognition.
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下载文件列表
SVMmatlab\binomial.m
.........\centrefig.m
.........\cmap.mat
.........\Contents.m
.........\Examples\Classification\iris1v23.mat
.........\........\..............\iris2v13.mat
.........\........\..............\iris3v12.mat
.........\........\..............\linsep.mat
.........\........\..............\nlinsep.mat
.........\........\Classification
.........\........\Regression\example.mat
.........\........\..........\sinc.mat
.........\........\..........\titanium.mat
.........\........\Regression
.........\Examples
.........\newsvm.zip
.........\nobias.m
.........\Optimiser\Makefile
.........\.........\pr_loqo.c
.........\.........\pr_loqo.h
.........\.........\qp.c
.........\.........\qp.dll
.........\Optimiser
.........\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
.........\支持向量机非线性回归通用matlab程序.txt
SVMmatlab
.........\centrefig.m
.........\cmap.mat
.........\Contents.m
.........\Examples\Classification\iris1v23.mat
.........\........\..............\iris2v13.mat
.........\........\..............\iris3v12.mat
.........\........\..............\linsep.mat
.........\........\..............\nlinsep.mat
.........\........\Classification
.........\........\Regression\example.mat
.........\........\..........\sinc.mat
.........\........\..........\titanium.mat
.........\........\Regression
.........\Examples
.........\newsvm.zip
.........\nobias.m
.........\Optimiser\Makefile
.........\.........\pr_loqo.c
.........\.........\pr_loqo.h
.........\.........\qp.c
.........\.........\qp.dll
.........\Optimiser
.........\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
.........\支持向量机非线性回归通用matlab程序.txt
SVMmatlab