Description: Matlab-based classification method of SVM model experimental systems, there are simulation results, there are examples, can be used for reference
- [feil] - neural network classification procedures
- [RBF] - RBF neural network for classification an
- [libsvm-2.81] - Java realization of a support vector mac
- [SVMExample] - SVM Support Vector Machines and Kernel M
- [11] - Beijing University of Posts and Telecomm
- [vc-SVM] - SVM VC++ Related source code, useful for
- [Duda-PPT] - Duda pattern classification to the secon
- [Selforg] - Self-organizing feature map network imag
- [classify_NN] - Bayesian classifier, has been testing th
- [2DPCAandSVM] - 2DPCA and introduced based on support ve
File list (Check if you may need any files):
基于Matlab的SVM模式分类方法的实验系统
.....................................\1.mat
.....................................\16.mat
.....................................\24.mat
.....................................\32.mat
.....................................\8.mat
.....................................\Data
.....................................\....\check2ddata.m
.....................................\....\created.m
.....................................\....\createdata.m
.....................................\....\Liner.mat
.....................................\....\noname.mat
.....................................\....\SVM1.mat
.....................................\....\SVM2.mat
.....................................\....\SVM3.mat
.....................................\help
.....................................\....\about.fig
.....................................\....\about.m
.....................................\login.fig
.....................................\login.m
.....................................\spath.m
.....................................\svm
.....................................\...\code.rar
.....................................\...\consist.m
.....................................\...\demo1.m
.....................................\...\demo2.m
.....................................\...\License.txt
.....................................\...\loqo.c
.....................................\...\pr_loqo.c
.....................................\...\pr_loqo.h
.....................................\...\Readme.txt
.....................................\...\svm.m
.....................................\...\svmfwd.m
.....................................\...\svmkernel.m
.....................................\...\svmstat.m
.....................................\...\svmtrain.asv
.....................................\...\svmtrain.m
.....................................\SVM1.mat
.....................................\SVM2.mat
.....................................\SVM3.mat
.....................................\test
.....................................\....\1.mat
.....................................\....\DrawGraph
.....................................\....\.........\plotboundary2.m
.....................................\....\.........\plotdata2.m
.....................................\....\.........\plotsvGraph.m
.....................................\....\.........\plotsvGraph2.m
.....................................\....\.........\plotsvGraph3.m
.....................................\....\.........\plotsvGraph4.m
.....................................\....\hs_err_pid2256.log
.....................................\....\hs_err_pid2452.log
.....................................\....\LoadData
.....................................\....\........\clrchild.m
.....................................\....\........\loadsets2.m
.....................................\....\........\resetB.m
.....................................\....\........\setaxis.m
.....................................\....\noname.mat
.....................................\....\plotdata.m
.....................................\....\plotsv.asv
.....................................\....\plotsv.m
.....................................\....\SVM_EXPE.fig
.....................................\....\SVM_EXPE.m
.....................................\程序运行说明.txt
Download