文件名称:LSSVM
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matlab平台下的最小二乘法支持向量机用于分类,二分类准确率可到100%,三分类可到96%。(The least squares support vector machine under Matlab platform is used for classification. The accuracy of two classification can reach 100%, and three classification can reach 96%.)
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
LSSVM\0.CSV | 334957 | 2018-04-24 |
LSSVM\1.CSV | 332975 | 2018-04-24 |
LSSVM\3.CSV | 333209 | 2018-04-24 |
LSSVM\AFEm.m | 3437 | 2011-06-29 |
LSSVM\bay_errorbar.m | 5785 | 2010-09-20 |
LSSVM\bay_initlssvm.m | 1998 | 2010-09-20 |
LSSVM\bay_lssvm.m | 10339 | 2010-09-20 |
LSSVM\bay_lssvmARD.m | 8187 | 2003-02-21 |
LSSVM\bay_modoutClass.m | 9358 | 2003-02-21 |
LSSVM\bay_optimize.m | 5843 | 2011-07-06 |
LSSVM\bay_rr.m | 4312 | 2009-10-27 |
LSSVM\bitreverse32.m | 1479 | 2010-10-18 |
LSSVM\changelssvm.m | 5576 | 2010-09-20 |
LSSVM\cilssvm.m | 4744 | 2011-08-11 |
LSSVM\code.m | 4245 | 2010-09-20 |
LSSVM\codedist_bay.m | 2107 | 2011-06-29 |
LSSVM\codedist_hamming.m | 753 | 2011-06-29 |
LSSVM\codedist_loss.m | 2015 | 2010-09-20 |
LSSVM\codelssvm.m | 4126 | 2009-11-26 |
LSSVM\code_ECOC.m | 5194 | 2011-06-29 |
LSSVM\code_MOC.m | 548 | 2011-06-29 |
LSSVM\code_OneVsAll.m | 361 | 2011-06-29 |
LSSVM\code_OneVsOne.m | 576 | 2011-06-29 |
LSSVM\crossvalidate.m | 5847 | 2011-08-15 |
LSSVM\crossvalidatelssvm.m | 3941 | 2011-08-15 |
LSSVM\csa.m | 3188 | 2011-06-29 |
LSSVM\democlass.m | 1210 | 2018-04-26 |
LSSVM\democonfint.m | 2147 | 2011-07-29 |
LSSVM\demofun.m | 3972 | 2011-06-29 |
LSSVM\demomodel.m | 4774 | 2018-04-24 |
LSSVM\demomulticlass.m | 862 | 2018-04-26 |
LSSVM\demo_fixedclass.m | 2253 | 2018-04-24 |
LSSVM\demo_fixedsize.m | 3233 | 2011-06-29 |
LSSVM\demo_yinyang.m | 3447 | 2011-06-29 |
LSSVM\denoise_kpca.m | 3596 | 2011-06-29 |
LSSVM\eign.m | 3783 | 2011-06-29 |
LSSVM\gcrossvalidate.m | 3300 | 2011-06-29 |
LSSVM\gcrossvalidatelssvm.m | 2092 | 2011-06-29 |
LSSVM\gridsearch.m | 6922 | 2011-06-29 |
LSSVM\initlssvm.m | 3327 | 2011-06-29 |
LSSVM\kentropy.m | 2201 | 2011-06-29 |
LSSVM\kernel_matrix.m | 3569 | 2011-08-11 |
LSSVM\kernel_matrix2.m | 795 | 2011-08-11 |
LSSVM\kpca.m | 6261 | 2011-06-29 |
LSSVM\latentlssvm.m | 2395 | 2011-06-29 |
LSSVM\latticeseq_b2.m | 5836 | 2010-10-18 |
LSSVM\leaveoneout.m | 3665 | 2011-06-29 |
LSSVM\leaveoneoutlssvm.m | 2399 | 2011-06-29 |
LSSVM\linesearch.m | 3755 | 2011-06-29 |
LSSVM\linf.m | 310 | 2011-06-29 |
LSSVM\lin_kernel.m | 529 | 2011-06-29 |
LSSVM\lssvm.m | 1764 | 2011-06-29 |
LSSVM\lssvmMATLAB.m | 2079 | 2011-06-29 |
LSSVM\mae.m | 281 | 2011-07-26 |
LSSVM\MatlabFileAssocFix.reg | 24922 | 2018-04-24 |
LSSVM\medae.m | 302 | 2011-06-29 |
LSSVM\misclass.m | 684 | 2011-06-29 |
LSSVM\MLP_kernel.m | 603 | 2011-06-29 |
LSSVM\mse.m | 282 | 2011-06-29 |
LSSVM\plotlssvm.m | 9947 | 2011-06-29 |
LSSVM\poly_kernel.m | 623 | 2011-06-29 |
LSSVM\postlssvm.m | 4835 | 2011-06-29 |
LSSVM\predict.m | 3482 | 2011-06-29 |
LSSVM\predlssvm.m | 5300 | 2011-06-29 |
LSSVM\preimage_rbf.m | 4453 | 2011-06-29 |
LSSVM\prelssvm.m | 6319 | 2011-06-29 |
LSSVM\progress.m | 1147 | 2011-06-29 |
LSSVM\range.m | 173 | 2011-06-29 |
LSSVM\RBF_kernel.m | 1105 | 2011-06-29 |
LSSVM\rcrossvalidate.m | 5941 | 2011-06-29 |
LSSVM\rcrossvalidatelssvm.m | 4151 | 2011-06-29 |
LSSVM\ridgeregress.m | 1431 | 2011-06-29 |
LSSVM\robustlssvm.m | 2145 | 2011-06-29 |
LSSVM\roc.m | 7483 | 2011-06-29 |
LSSVM\rsimplex.m | 9913 | 2011-06-29 |
LSSVM\simann.m | 5365 | 2010-09-20 |
LSSVM\simlssvm.m | 6414 | 2011-06-29 |
LSSVM\simplex.m | 9799 | 2011-06-29 |
LSSVM\smootherlssvm.m | 1144 | 2011-06-29 |
LSSVM\tbform.m | 3207 | 2011-06-29 |
LSSVM\trainlssvm.m | 8705 | 2011-06-29 |
LSSVM\trimmedmse.m | 1708 | 2011-06-29 |
LSSVM\tunelssvm.m | 23858 | 2013-09-19 |
LSSVM\weightingscheme.m | 928 | 2011-06-29 |
LSSVM\windowize.m | 1934 | 2011-06-29 |
LSSVM\windowizeNARX.m | 1829 | 2011-06-29 |
LSSVM\x.xlsx | 36094 | 2018-04-26 |
LSSVM\xt.xlsx | 10974 | 2018-04-24 |
LSSVM\y.xlsx | 18107 | 2018-04-26 |
LSSVM\yt.xlsx | 10083 | 2018-04-26 |
LSSVM | 0 | 2018-05-02 |