Mathematical Problems in Engineering / 2018 / Article / Tab 5

Research Article

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

Table 5

Computational time of the proposed method, G-LSSVR and Local-LSSVR with the hyperparameter set , and the overlap factor as 1.5 are shown for Example 2, where the T-T represents total computational time for building the overall process of the proposed method and L-T represents the computational time for constructing all SRMs.

R:the number of SRMs46810

Proposed approachL-T(Second)0.46880.70310.79691.0156
T-T(Second)3.04694.81255.18756.5781

G-LSSVRT-T(Second): 3.2969L-T (Second): —

M: Training points4981121169

Local-LSSVRL-T(Second)
T-T(Second)107.3438115.6563127.4063155.1563

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