Mathematical Problems in Engineering / 2018 / Article / Tab 8

Research Article

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

Table 8

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 3.

R:the number of SRMs3579

Proposed approachL-T(Second) 0.25000.2813 0.26560.3594
T-T(Second) 0.3281 1.09381.34381.5313

G-LSSVRT-T(Second): 0.1875L-T (Second): —

M: Training points4981121169

Local-LSSVRL-T(Second)
T-T(Second) 16.5469 16.781317.906318.1719

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