Mathematical Problems in Engineering / 2018 / Article / Tab 4

Research Article

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

Table 4

Comparison results of the proposed method, [15], G-LSSVR and Local-LSSVR with the hyper-parameter set , and the overlap factor as 1.5 are shown for Example 2.

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

4-SRMs0.01790.03250.01800.0327

6-SRMS0.01800.03230.01800.0325

8-SRMs0.01770.03160.01780.0317

10-SRMs0.01750.03050.01750.0306

G-LSSVR0.02890.0284

Local-LSSVR

M=49 training points0.12100.1288

M=81 training points0.04770.0558

M=121 training points0.02490.0282

M=169 training points0.01600.0190

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