现有的LSSVM工具箱,自带PSO优化我要分享

The existing LSSVM toolbox comes with PSO optimization

lssvm的工具箱 LSSVM-工具箱 pso-lssvm工具箱 LSSVM优化 lssvm参数

关注次数: 450

下载次数: 1

文件大小: 118KB

代码分类: 仿真计算

开发平台: matlab

下载需要积分: 1积分

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代码描述

中文说明:

现有的LSSVM工具箱,自带PSO优化,参数无需调整。


English Description:

The existing LSSVM toolbox has its own PSO optimization, and the parameters do not need to be adjusted.


代码预览

LSSVMlabv1_8_R2009b_R2011a

LSSVMlabv1_8_R2009b_R2011a\AFEm.m

LSSVMlabv1_8_R2009b_R2011a\MLP_kernel.m

LSSVMlabv1_8_R2009b_R2011a\RBF_kernel.m

LSSVMlabv1_8_R2009b_R2011a\bay_errorbar.m

LSSVMlabv1_8_R2009b_R2011a\bay_initlssvm.m

LSSVMlabv1_8_R2009b_R2011a\bay_lssvm.m

LSSVMlabv1_8_R2009b_R2011a\bay_lssvmARD.m

LSSVMlabv1_8_R2009b_R2011a\bay_modoutClass.m

LSSVMlabv1_8_R2009b_R2011a\bay_optimize.m

LSSVMlabv1_8_R2009b_R2011a\bay_rr.m

LSSVMlabv1_8_R2009b_R2011a\bitreverse32.m

LSSVMlabv1_8_R2009b_R2011a\changelssvm.m

LSSVMlabv1_8_R2009b_R2011a\cilssvm.m

LSSVMlabv1_8_R2009b_R2011a\code.m

LSSVMlabv1_8_R2009b_R2011a\code_ECOC.m

LSSVMlabv1_8_R2009b_R2011a\code_MOC.m

LSSVMlabv1_8_R2009b_R2011a\code_OneVsAll.m

LSSVMlabv1_8_R2009b_R2011a\code_OneVsOne.m

LSSVMlabv1_8_R2009b_R2011a\codedist_bay.m

LSSVMlabv1_8_R2009b_R2011a\codedist_hamming.m

LSSVMlabv1_8_R2009b_R2011a\codedist_loss.m

LSSVMlabv1_8_R2009b_R2011a\codelssvm.m

LSSVMlabv1_8_R2009b_R2011a\crossvalidate.m

LSSVMlabv1_8_R2009b_R2011a\crossvalidatelssvm.m

LSSVMlabv1_8_R2009b_R2011a\csa.m

LSSVMlabv1_8_R2009b_R2011a\demo_fixedclass.m

LSSVMlabv1_8_R2009b_R2011a\demo_fixedsize.m

LSSVMlabv1_8_R2009b_R2011a\demo_yinyang.m

LSSVMlabv1_8_R2009b_R2011a\democlass.m

LSSVMlabv1_8_R2009b_R2011a\democonfint.m

LSSVMlabv1_8_R2009b_R2011a\demofun.m

LSSVMlabv1_8_R2009b_R2011a\demomodel.m

LSSVMlabv1_8_R2009b_R2011a\demomulticlass.m

LSSVMlabv1_8_R2009b_R2011a\denoise_kpca.m

LSSVMlabv1_8_R2009b_R2011a\eign.m

LSSVMlabv1_8_R2009b_R2011a\gcrossvalidate.m

LSSVMlabv1_8_R2009b_R2011a\gcrossvalidatelssvm.m

LSSVMlabv1_8_R2009b_R2011a\gridsearch.m

LSSVMlabv1_8_R2009b_R2011a\initlssvm.m

LSSVMlabv1_8_R2009b_R2011a\kentropy.m

LSSVMlabv1_8_R2009b_R2011a\kernel_matrix.m

LSSVMlabv1_8_R2009b_R2011a\kernel_matrix2.m

LSSVMlabv1_8_R2009b_R2011a\kpca.m

LSSVMlabv1_8_R2009b_R2011a\latentlssvm.m

LSSVMlabv1_8_R2009b_R2011a\latticeseq_b2.m

LSSVMlabv1_8_R2009b_R2011a\leaveoneout.m

LSSVMlabv1_8_R2009b_R2011a\leaveoneoutlssvm.m

LSSVMlabv1_8_R2009b_R2011a\lin_kernel.m

LSSVMlabv1_8_R2009b_R2011a\linesearch.m

LSSVMlabv1_8_R2009b_R2011a\linf.m

LSSVMlabv1_8_R2009b_R2011a\lssvm.m

LSSVMlabv1_8_R2009b_R2011a\lssvmMATLAB.m

LSSVMlabv1_8_R2009b_R2011a\mae.m

LSSVMlabv1_8_R2009b_R2011a\medae.m

LSSVMlabv1_8_R2009b_R2011a\misclass.m

LSSVMlabv1_8_R2009b_R2011a\mse.m

LSSVMlabv1_8_R2009b_R2011a\plotlssvm.m

LSSVMlabv1_8_R2009b_R2011a\poly_kernel.m

LSSVMlabv1_8_R2009b_R2011a\postlssvm.m

LSSVMlabv1_8_R2009b_R2011a\predict.m

LSSVMlabv1_8_R2009b_R2011a\predlssvm.m

LSSVMlabv1_8_R2009b_R2011a\preimage_rbf.m

LSSVMlabv1_8_R2009b_R2011a\prelssvm.m

LSSVMlabv1_8_R2009b_R2011a\progress.m

LSSVMlabv1_8_R2009b_R2011a\range.m

LSSVMlabv1_8_R2009b_R2011a\rcrossvalidate.m

LSSVMlabv1_8_R2009b_R2011a\rcrossvalidatelssvm.m

LSSVMlabv1_8_R2009b_R2011a\ridgeregress.m

LSSVMlabv1_8_R2009b_R2011a\robustlssvm.m

LSSVMlabv1_8_R2009b_R2011a\roc.m

LSSVMlabv1_8_R2009b_R2011a\rsimplex.m

LSSVMlabv1_8_R2009b_R2011a\simann.m

LSSVMlabv1_8_R2009b_R2011a\simlssvm.m

LSSVMlabv1_8_R2009b_R2011a\simplex.m

LSSVMlabv1_8_R2009b_R2011a\smootherlssvm.m

LSSVMlabv1_8_R2009b_R2011a\tbform.m

LSSVMlabv1_8_R2009b_R2011a\trainlssvm.m

LSSVMlabv1_8_R2009b_R2011a\trimmedmse.m

LSSVMlabv1_8_R2009b_R2011a\tunelssvm.m

LSSVMlabv1_8_R2009b_R2011a\weightingscheme.m

LSSVMlabv1_8_R2009b_R2011a\windowize.m

LSSVMlabv1_8_R2009b_R2011a\windowizeNARX.m