文件名称:kritical__hard_copy__black
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
介绍说明－－下载内容均来自于网络，请自行研究使用
The SVM application for small sample analysis, pattern recognition, used in Matlab platform,,
相关搜索： Windows编程
(系统自动生成,下载前可以参看下载内容)
下载文件列表
RGA_SVM\Readme_of_GASVM.txt
VRead me.txt
RGA_SVM\osu_svm3.00\mexSVMClass.dll
RGA_SVM\osu_svm3.00\mexSVMTrain.dll
RGA_SVM\ALLdataTest.m
RGA_SVM\ALLdataTrain.m
RGA_SVM\osu_svm3.00\demo\c_clademo.m
RGA_SVM\osu_svm3.00\demo\c_lindemo.m
RGA_SVM\osu_svm3.00\demo\c_poldemo.m
RGA_SVM\osu_svm3.00\demo\c_rbfdemo.m
RGA_SVM\osu_svm3.00\demo\c_svcdemo.m
RGA_SVM\osu_svm3.00\Contents.m
RGA_SVM\osu_svm3.00\demos.m
RGA_SVM\osu_svm3.00\LinearSVC.m
RGA_SVM\mainGA7.m
RGA_SVM\osu_svm3.00\mexSVMClass.m
RGA_SVM\osu_svm3.00\mexSVMTrain.m
RGA_SVM\osu_svm3.00\Normalize.m
RGA_SVM\osu_svm3.00\demo\one_rbfdemo.m
RGA_SVM\osu_svm3.00\one_RbfSVC.m
RGA_SVM\osu_svm3.00\demo\osusvmdemo.m
RGA_SVM\osu_svm3.00\PolySVC.m
RGA_SVM\osu_svm3.00\RbfSVC.m
RGA_SVM\osu_svm3.00\Scale.m
RGA_SVM\selectGA7.m
RGA_SVM\svmc7.m
RGA_SVM\osu_svm3.00\SVMClass.m
RGA_SVM\osu_svm3.00\SVMPlot.m
RGA_SVM\osu_svm3.00\SVMPlot2.m
RGA_SVM\osu_svm3.00\SVMTest.m
RGA_SVM\osu_svm3.00\SVMTrain.m
RGA_SVM\osu_svm3.00\demo\u_clademo.m
RGA_SVM\osu_svm3.00\demo\u_lindemo.m
RGA_SVM\osu_svm3.00\u_LinearSVC.m
RGA_SVM\osu_svm3.00\demo\u_poldemo.m
RGA_SVM\osu_svm3.00\u_PolySVC.m
RGA_SVM\osu_svm3.00\demo\u_rbfdemo.m
RGA_SVM\osu_svm3.00\u_RbfSVC.m
RGA_SVM\osu_svm3.00\demo\u_svcdemo.m
RGA_SVM\osu_svm3.00\cmap.mat
RGA_SVM\osu_svm3.00\demo\DemoData_class.mat
RGA_SVM\osu_svm3.00\demo\DemoData_test.mat
RGA_SVM\osu_svm3.00\demo\DemoData_train.mat
RGA_SVM\osu_svm3.00\demo\SVMClassifier.mat
RGA_SVM\osu_svm3.00\mexSVMClass.mexglx
RGA_SVM\osu_svm3.00\mexSVMTrain.mexglx
RGA_SVM\osu_svm3.00\mexSVMClass.mexhp7
RGA_SVM\osu_svm3.00\mexSVMTrain.mexhp7
RGA_SVM\osu_svm3.00\mexSVMClass.mexsol
RGA_SVM\osu_svm3.00\mexSVMTrain.mexsol
RGA_SVM\osu_svm3.00\demo
RGA_SVM\osu_svm3.00
RGA_SVM
VRead me.txt
RGA_SVM\osu_svm3.00\mexSVMClass.dll
RGA_SVM\osu_svm3.00\mexSVMTrain.dll
RGA_SVM\ALLdataTest.m
RGA_SVM\ALLdataTrain.m
RGA_SVM\osu_svm3.00\demo\c_clademo.m
RGA_SVM\osu_svm3.00\demo\c_lindemo.m
RGA_SVM\osu_svm3.00\demo\c_poldemo.m
RGA_SVM\osu_svm3.00\demo\c_rbfdemo.m
RGA_SVM\osu_svm3.00\demo\c_svcdemo.m
RGA_SVM\osu_svm3.00\Contents.m
RGA_SVM\osu_svm3.00\demos.m
RGA_SVM\osu_svm3.00\LinearSVC.m
RGA_SVM\mainGA7.m
RGA_SVM\osu_svm3.00\mexSVMClass.m
RGA_SVM\osu_svm3.00\mexSVMTrain.m
RGA_SVM\osu_svm3.00\Normalize.m
RGA_SVM\osu_svm3.00\demo\one_rbfdemo.m
RGA_SVM\osu_svm3.00\one_RbfSVC.m
RGA_SVM\osu_svm3.00\demo\osusvmdemo.m
RGA_SVM\osu_svm3.00\PolySVC.m
RGA_SVM\osu_svm3.00\RbfSVC.m
RGA_SVM\osu_svm3.00\Scale.m
RGA_SVM\selectGA7.m
RGA_SVM\svmc7.m
RGA_SVM\osu_svm3.00\SVMClass.m
RGA_SVM\osu_svm3.00\SVMPlot.m
RGA_SVM\osu_svm3.00\SVMPlot2.m
RGA_SVM\osu_svm3.00\SVMTest.m
RGA_SVM\osu_svm3.00\SVMTrain.m
RGA_SVM\osu_svm3.00\demo\u_clademo.m
RGA_SVM\osu_svm3.00\demo\u_lindemo.m
RGA_SVM\osu_svm3.00\u_LinearSVC.m
RGA_SVM\osu_svm3.00\demo\u_poldemo.m
RGA_SVM\osu_svm3.00\u_PolySVC.m
RGA_SVM\osu_svm3.00\demo\u_rbfdemo.m
RGA_SVM\osu_svm3.00\u_RbfSVC.m
RGA_SVM\osu_svm3.00\demo\u_svcdemo.m
RGA_SVM\osu_svm3.00\cmap.mat
RGA_SVM\osu_svm3.00\demo\DemoData_class.mat
RGA_SVM\osu_svm3.00\demo\DemoData_test.mat
RGA_SVM\osu_svm3.00\demo\DemoData_train.mat
RGA_SVM\osu_svm3.00\demo\SVMClassifier.mat
RGA_SVM\osu_svm3.00\mexSVMClass.mexglx
RGA_SVM\osu_svm3.00\mexSVMTrain.mexglx
RGA_SVM\osu_svm3.00\mexSVMClass.mexhp7
RGA_SVM\osu_svm3.00\mexSVMTrain.mexhp7
RGA_SVM\osu_svm3.00\mexSVMClass.mexsol
RGA_SVM\osu_svm3.00\mexSVMTrain.mexsol
RGA_SVM\osu_svm3.00\demo
RGA_SVM\osu_svm3.00
RGA_SVM