最小二乘支持向量机lssvm我要分享

Least squares support vector machine LSSVM

lssvm 周期向量 LSSVM预测 单序列预测 lssvm-预测

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文件大小: 121KB

代码分类: 仿真计算

开发平台: matlab

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代码描述

中文说明:

用于lssvm(最小二乘支持向量机)的单序列拟合预测一个周期(12期)。


English Description:

The single sequence fitting of LSSVM (least squares support vector machine) is used to predict one cycle (12 periods)


代码预览

lssvm

.....\chenglijuan.m

.....\LSSVMlabv1_8_R2009b_R2011a

.....\..........................\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

.....\..........................\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

.....\..........................\crossvalidatelssvm.m

.....\..........................\csa.m

.....\..........................\democlass.m

.....\..........................\democonfint.m

.....\..........................\demofun.m

.....\..........................\demomodel.m

.....\..........................\demomulticlass.m

.....\..........................\demo_fixedclass.m

.....\..........................\demo_fixedsize.m

.....\..........................\demo_yinyang.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

.....\..........................\linesearch.m

.....\..........................\linf.m

.....\..........................\lin_kernel.m

.....\..........................\lssvm.m

.....\..........................\lssvmMATLAB.m

.....\..........................\mae.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

.....\..........................\weightingscheme.m

.....\..........................\windowize.m

.....\..........................\windowizeNARX.m

.....\matlab1.mat