Mathematical Problems in Engineering / 2018 / Article / Tab 10

Research Article

Fuzzy Weighted Least Squares Support Vector Regression with Data Reduction for Nonlinear System Modeling

Table 10

Comparison results of the proposed method, [15], G-LSSVR and Local-LSSVR with the hyper-parameter set , and the overlap factor as 2.8 are shown for Example 4.

: the number of the SRMs RMSE (Training)RMSE (Testing)
our approach[15]our approach[15]

4-SRMs0.25440.15890.33040.5163

8-SRMS0.25060.13650.33210.4861

12-SRMs0.24910.12480.33380.4218

G-LSSVR0.24800.3355

Local-LSSVR

M=41 training points0.33280.3805

M=61 training points0.32340.3666

M=81 training points0.32370.3366

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