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文件名称:lssvm

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最小二乘支持向量机回归,四个插入数据分别为训练输入、训练输出、测试输入、测试输出。工具包+程序(Least squares support vector regression (SVM), the four inserted data are training input, training output, test input and test output)
相关搜索: ls-svm

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下载文件列表

lssvm
lssvm\LSSVMlabv1_8_R2009b_R2011a
lssvm\LSSVMlabv1_8_R2009b_R2011a\AFEm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\bay_errorbar.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\bay_initlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\bay_lssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\bay_lssvmARD.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\bay_modoutClass.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\bay_optimize.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\bay_rr.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\bitreverse32.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\changelssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\cilssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\code.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\codedist_bay.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\codedist_hamming.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\codedist_loss.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\codelssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\code_ECOC.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\code_MOC.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\code_OneVsAll.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\code_OneVsOne.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\crossvalidate.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\crossvalidatelssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\csa.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\democlass.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\democonfint.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\demofun.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\demomodel.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\demomulticlass.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\demo_fixedclass.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\demo_fixedsize.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\demo_yinyang.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\denoise_kpca.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\eign.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\gcrossvalidate.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\gcrossvalidatelssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\gridsearch.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\initlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\kentropy.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\kernel_matrix.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\kernel_matrix2.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\kpca.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\latentlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\latticeseq_b2.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\leaveoneout.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\leaveoneoutlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\linesearch.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\linf.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\lin_kernel.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\lssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\lssvmMATLAB.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\mae.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\medae.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\misclass.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\MLP_kernel.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\mse.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\plotlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\poly_kernel.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\postlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\predict.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\predlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\preimage_rbf.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\prelssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\progress.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\range.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\RBF_kernel.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\rcrossvalidate.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\rcrossvalidatelssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\ridgeregress.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\robustlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\roc.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\rsimplex.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\simann.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\simlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\simplex.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\smootherlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\tbform.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\trainlssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\trimmedmse.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\tunelssvm.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\weightingscheme.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\windowize.m
lssvm\LSSVMlabv1_8_R2009b_R2011a\windowizeNARX.m
lssvm\Untitled.m

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