文件名称:LSSVM
介绍说明--下载内容均来自于网络,请自行研究使用
最小二乘支持向量机,程序粘到command window里,设定 2 两个参数,可以更改,以达到最优化-igam=0.001
isig2=0.001
[gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },...
[0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm )
type= function approximation
kernel= RBF_kernel
model=initlssvm(X,Y,type,gam,sig2,kernel)
model
model=trainlssvm(model)
Yt=simlssvm(model,Xt)
isig2=0.001
[gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },...
[0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm )
type= function approximation
kernel= RBF_kernel
model=initlssvm(X,Y,type,gam,sig2,kernel)
model
model=trainlssvm(model)
Yt=simlssvm(model,Xt)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
LSSVM\LS-SVMlab1.5\AFE.m
.....\............\bay_errorbar.m
.....\............\bay_initlssvm.m
.....\............\bay_lssvm.m
.....\............\bay_lssvmARD.m
.....\............\bay_modoutClass.m
.....\............\bay_optimize.m
.....\............\bay_rr.m
.....\............\changelssvm.m
.....\............\code.m
.....\............\codedist_bay.m
.....\............\codedist_hamming.m
.....\............\codedist_loss.m
.....\............\codelssvm.m
.....\............\code_ECOC.m
.....\............\code_MOC.m
.....\............\code_OneVsAll.m
.....\............\code_OneVsOne.m
.....\............\crossvalidate.m
.....\............\deltablssvm.m
.....\............\democlass.m
.....\............\demofun.m
.....\............\demomodel.m
.....\............\demo_fixedclass.m
.....\............\demo_fixedsize.m
.....\............\demo_yinyang.m
.....\............\denoise_kpca.m
.....\............\eign.m
.....\............\gridsearch.m
.....\............\hs_err_pid3144.log
.....\............\initlssvm.m
.....\............\kentropy.m
.....\............\kernel_matrix.m
.....\............\kpca.m
.....\............\latentlssvm.m
.....\............\leaveoneout.m
.....\............\leaveoneout_lssvm.m
.....\............\linesearch.m
.....\............\linf.m
.....\............\lin_kernel.m
.....\............\lssvm.dll
.....\............\lssvm1024.dll
.....\............\lssvm256.dll
.....\............\lssvm64.dll
.....\............\lssvmFILE.exe
.....\............\lssvmFILE.m
.....\............\lssvmFILE1024.exe
.....\............\lssvmFILE256.exe
.....\............\lssvmFILE64.exe
.....\............\lssvmMATLAB.m
.....\............\medae.m
.....\............\misclass.m
.....\............\MLP_kernel.m
.....\............\mse.m
.....\............\phitures.dll
.....\............\plotlssvm.m
.....\............\poly_kernel.m
.....\............\postlssvm.m
.....\............\predict.m
.....\............\prelssvm.m
.....\............\RBF_kernel.m
.....\............\rcrossvalidate.m
.....\............\ridgeregress.m
.....\............\robustlssvm.m
.....\............\roc.m
.....\............\simclssvm.dll
.....\............\simclssvm1024.dll
.....\............\simclssvm256.dll
.....\............\simclssvm64.dll
.....\............\simFILE.exe
.....\............\simFILE.m
.....\............\simFILE1024.exe
.....\............\simFILE256.exe
.....\............\simFILE64.exe
.....\............\simlssvm.m
.....\............\sparselssvm.m
.....\............\trainlssvm.m
.....\............\trimmedmse.m
.....\............\tunelssvm.m
.....\............\validate.m
.....\............\windowize.m
.....\............\windowizeNARX.m
.....\............\X.mat
.....\............\Y.mat
.....\LS-SVM工具箱使用方法.pdf
.....\LS-SVM程序-刘飞.txt
.....\LS-SVMlab1.5
LSSVM