Mathematical Problems in Engineering / 2018 / Article / Tab 2

Research Article

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

Table 2

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 1, 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 SRMs35791215

Proposed approachL-T(Second)0.1406015630.18750.23440.28130.2656
T-T(Second)0.64060.87501.28131.29691.54691.7031

G-LSSVRT-T(Second): 0.2500L-T(Second): —

M: Training points21416181

Local-LSSVRL-T(Second)
T-T(Second)16.250017.812517.312518.0625

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