LSSVM

LSSVM做预测，分类。工具包中有各种函数。加入到MATLAB路径下即可使用。其中，参数寻优，模型建立，主成分分析等都有对应的函数。

LSSVMlab工具包
AFEm.m
bay_errorbar.m
bay_initlssvm.m
bay_lssvm.m
bay_lssvmARD.m
bay_modoutClass.m
bay_optimize.m
bay_rr.m
bitreverse32.m
changelssvm.m
cilssvm.m
code.m
code_ECOC.m
code_MOC.m
code_OneVsAll.m
code_OneVsOne.m
codedist_bay.m
codedist_hamming.m
codedist_loss.m
codelssvm.m
crossvalidate.m
crossvalidatelssvm.m
csa.m
demo_fixedclass.m
demo_fixedsize.m
demo_yinyang.m
democlass.m
democonfint.m
demofun.m
demomodel.m
demomulticlass.m
denoise_kpca.m
eign.m
gcrossvalidate.m
gcrossvalidatelssvm.m
gridsearch.m
initlssvm.m
kentropy.m
kernel_matrix.m
kernel_matrix2.m
kpca.m
latentlssvm.m
latticeseq_b2.m
leaveoneout.m
leaveoneoutlssvm.m
lin_kernel.m
linesearch.m
linf.m
lssvm.m
lssvmMATLAB.m
lssvm实例 - CSDN博客.webarchive
mae.m
main.m
medae.m
misclass.m
MLP_kernel.m
mse.m
plotlssvm.m
poly_kernel.m
postlssvm.m
predict.m
predlssvm.m
preimage_rbf.m
prelssvm.m
progress.m
range.m
RBF_kernel.m
rcrossvalidate.m
rcrossvalidatelssvm.m
ridgeregress.m
robustlssvm.m
roc.m
rsimplex.m
simann.m
simlssvm.m
simplex.m
smootherlssvm.m
tbform.m
trainlssvm.m
trimmedmse.m
tunelssvm.m
tutorialv1_8.pdf
weightingscheme.m
windowize.m
windowizeNARX.m