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文件名称:最小二乘支持向量机工具

介绍说明--下载内容来自于网络,使用问题请自行百度

采用最小二乘支持向量机完成对信号的分类,预测功能。
该工具包在2009版本上已经验证。
(系统自动生成,下载前可以参看下载内容)

下载文件列表

压缩包 : LSSVMlabv1_8_R2006a_R2009a.zip 列表
LSSVMlabv1_8_R2006a_R2009a/
LSSVMlabv1_8_R2006a_R2009a/AFEm.m
LSSVMlabv1_8_R2006a_R2009a/bay_errorbar.m
LSSVMlabv1_8_R2006a_R2009a/bay_initlssvm.m
LSSVMlabv1_8_R2006a_R2009a/bay_lssvm.m
LSSVMlabv1_8_R2006a_R2009a/bay_lssvmARD.m
LSSVMlabv1_8_R2006a_R2009a/bay_modoutClass.m
LSSVMlabv1_8_R2006a_R2009a/bay_optimize.m
LSSVMlabv1_8_R2006a_R2009a/bay_rr.m
LSSVMlabv1_8_R2006a_R2009a/bitreverse32.m
LSSVMlabv1_8_R2006a_R2009a/changelssvm.m
LSSVMlabv1_8_R2006a_R2009a/cilssvm.m
LSSVMlabv1_8_R2006a_R2009a/code.m
LSSVMlabv1_8_R2006a_R2009a/codedist_bay.m
LSSVMlabv1_8_R2006a_R2009a/codedist_hamming.m
LSSVMlabv1_8_R2006a_R2009a/codedist_loss.m
LSSVMlabv1_8_R2006a_R2009a/codelssvm.m
LSSVMlabv1_8_R2006a_R2009a/code_ECOC.m
LSSVMlabv1_8_R2006a_R2009a/code_MOC.m
LSSVMlabv1_8_R2006a_R2009a/code_OneVsAll.m
LSSVMlabv1_8_R2006a_R2009a/code_OneVsOne.m
LSSVMlabv1_8_R2006a_R2009a/crossvalidate.m
LSSVMlabv1_8_R2006a_R2009a/crossvalidatelssvm.m
LSSVMlabv1_8_R2006a_R2009a/csa.m
LSSVMlabv1_8_R2006a_R2009a/democlass.m
LSSVMlabv1_8_R2006a_R2009a/democonfint.m
LSSVMlabv1_8_R2006a_R2009a/demofun.m
LSSVMlabv1_8_R2006a_R2009a/demomodel.m
LSSVMlabv1_8_R2006a_R2009a/demomulticlass.m
LSSVMlabv1_8_R2006a_R2009a/demo_fixedclass.m
LSSVMlabv1_8_R2006a_R2009a/demo_fixedsize.m
LSSVMlabv1_8_R2006a_R2009a/demo_yinyang.m
LSSVMlabv1_8_R2006a_R2009a/denoise_kpca.m
LSSVMlabv1_8_R2006a_R2009a/eign.m
LSSVMlabv1_8_R2006a_R2009a/func.asv
LSSVMlabv1_8_R2006a_R2009a/func.m
LSSVMlabv1_8_R2006a_R2009a/gcrossvalidate.m
LSSVMlabv1_8_R2006a_R2009a/gcrossvalidatelssvm.m
LSSVMlabv1_8_R2006a_R2009a/gridsearch.m
LSSVMlabv1_8_R2006a_R2009a/initlssvm.m
LSSVMlabv1_8_R2006a_R2009a/kentropy.m
LSSVMlabv1_8_R2006a_R2009a/kernel_matrix.m
LSSVMlabv1_8_R2006a_R2009a/kernel_matrix2.m
LSSVMlabv1_8_R2006a_R2009a/kpca.m
LSSVMlabv1_8_R2006a_R2009a/latentlssvm.m
LSSVMlabv1_8_R2006a_R2009a/latticeseq_b2.m
LSSVMlabv1_8_R2006a_R2009a/leaveoneout.m
LSSVMlabv1_8_R2006a_R2009a/leaveoneoutlssvm.m
LSSVMlabv1_8_R2006a_R2009a/linesearch.m
LSSVMlabv1_8_R2006a_R2009a/linf.m
LSSVMlabv1_8_R2006a_R2009a/lin_kernel.m
LSSVMlabv1_8_R2006a_R2009a/lssvm.m
LSSVMlabv1_8_R2006a_R2009a/lssvmMATLAB.m
LSSVMlabv1_8_R2006a_R2009a/mae.m
LSSVMlabv1_8_R2006a_R2009a/medae.m
LSSVMlabv1_8_R2006a_R2009a/misclass.m
LSSVMlabv1_8_R2006a_R2009a/MLP_kernel.m
LSSVMlabv1_8_R2006a_R2009a/mse.m
LSSVMlabv1_8_R2006a_R2009a/plotlssvm.m
LSSVMlabv1_8_R2006a_R2009a/poly_kernel.m
LSSVMlabv1_8_R2006a_R2009a/postlssvm.m
LSSVMlabv1_8_R2006a_R2009a/predict.m
LSSVMlabv1_8_R2006a_R2009a/predlssvm.m
LSSVMlabv1_8_R2006a_R2009a/preimage_rbf.m
LSSVMlabv1_8_R2006a_R2009a/prelssvm.m
LSSVMlabv1_8_R2006a_R2009a/progress.m
LSSVMlabv1_8_R2006a_R2009a/range.m
LSSVMlabv1_8_R2006a_R2009a/RBF_kernel.m
LSSVMlabv1_8_R2006a_R2009a/rcrossvalidate.m
LSSVMlabv1_8_R2006a_R2009a/rcrossvalidatelssvm.m
LSSVMlabv1_8_R2006a_R2009a/ridgeregress.m
LSSVMlabv1_8_R2006a_R2009a/ripley.mat
LSSVMlabv1_8_R2006a_R2009a/robustlssvm.m
LSSVMlabv1_8_R2006a_R2009a/roc.m
LSSVMlabv1_8_R2006a_R2009a/rsimplex.m
LSSVMlabv1_8_R2006a_R2009a/simann.m
LSSVMlabv1_8_R2006a_R2009a/simlssvm.m
LSSVMlabv1_8_R2006a_R2009a/simplex.m
LSSVMlabv1_8_R2006a_R2009a/smootherlssvm.m
LSSVMlabv1_8_R2006a_R2009a/tbform.m
LSSVMlabv1_8_R2006a_R2009a/testsvm.asv
LSSVMlabv1_8_R2006a_R2009a/testsvm.m
LSSVMlabv1_8_R2006a_R2009a/trainlssvm.m
LSSVMlabv1_8_R2006a_R2009a/trimmedmse.m
LSSVMlabv1_8_R2006a_R2009a/tunelssvm.m
LSSVMlabv1_8_R2006a_R2009a/weightingscheme.m
LSSVMlabv1_8_R2006a_R2009a/windowize.m
LSSVMlabv1_8_R2006a_R2009a/windowizeNARX.m

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