简介：TheLeastSquaresSupportVectorMachines(LS-SVM)isanimprovementtotheSVM.CombinedtheLS-SVMwiththeMulti-ResolutionAnalysis(MRA),thisletterproposestheMulti-resolutionLS-SVM(MLS-SVM).TheproposedalgorithmhasthesametheoreticalframeworkasMRAbutwithbetterapproximationability.AtafixedscaleMLS-SVMisaclassicalLS-SVM,butMLS-SVMcangraduallyapproximatethetargetfunctionatdifferentscales.Inexperiments,theMLS-SVMisusedfornonlinearsystemidentification,andachievesbetteridentificationaccuracy.
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