文件名称:SVM
介绍说明－－下载内容均来自于网络，请自行研究使用
该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法
(1) Main_SVC_C.m --- C_SVC二类分类算法
(2) Main_SVC_Nu.m --- Nu_SVC二类分类算法
(3) Main_SVM_One_Class.m --- One-Class支持向量机
(4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法
(5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support Vector Machine Matlab Toolbox 1.0
Platform : Matlab6.5/Matlab7.0
Reference : Chih-Chung Chang, Chih-Jen Lin. "LIBSVM: a Library for Support Vector Machines"
(1) Main_SVC_C.m --- C_SVC二类分类算法
(2) Main_SVC_Nu.m --- Nu_SVC二类分类算法
(3) Main_SVM_One_Class.m --- One-Class支持向量机
(4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法
(5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support Vector Machine Matlab Toolbox 1.0
Platform : Matlab6.5/Matlab7.0
Reference : Chih-Chung Chang, Chih-Jen Lin. "LIBSVM: a Library for Support Vector Machines"
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SVM\kernel.m
...\Main_SVC_C.m
...\Main_SVC_Nu.m
...\Main_SVM_One_Class.m
...\Main_SVR_Epsilon.m
...\Main_SVR_Nu.m
...\svmSim.m
...\svmTrain.m
...\工具箱说明.txt
SVM
...\Main_SVC_C.m
...\Main_SVC_Nu.m
...\Main_SVM_One_Class.m
...\Main_SVR_Epsilon.m
...\Main_SVR_Nu.m
...\svmSim.m
...\svmTrain.m
...\工具箱说明.txt
SVM