文件名称:LS-SVM1

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  • 书籍源码
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2014-11-20
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  • 621kb
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  • 0次
  • 提 供 者:
  • 杨*
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最小二乘支持向量机的工具箱程序,附可运行的SVM回归的例子,还有工具箱使用说明。-Least Squares Support Vector Machine Toolbox program, you can run the example attached SVM regression, as well as kit instructions.
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下载文件列表





LS-SVM1\LS-SVM.doc

.......\..SVMlabv1_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

.......\LSSVM_Fy.m

.......\LSSVMlabv1_8_R2009b_R2011a

LS-SVM1

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