中文说明:
用于lssvm(最小二乘支持向量机)的单序列拟合预测一个周期(12期)。
English Description:
The single sequence fitting of LSSVM (least squares support vector machine) is used to predict one cycle (12 periods)
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中文说明:
用于lssvm(最小二乘支持向量机)的单序列拟合预测一个周期(12期)。
English Description:
The single sequence fitting of LSSVM (least squares support vector machine) is used to predict one cycle (12 periods)
lssvm
.....\chenglijuan.m
.....\LSSVMlabv1_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
.....\matlab1.mat