Mathematical Problems in Engineering / 2018 / Article / Tab 11

Research Article

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

Table 11

Computational time of the proposed method, G-LSSVR and Local-LSSVR with the hyperparameter set , and the overlap factor as 2.8 are shown for Example 4, 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 SRMs4812

Proposed approachL-T(Second) 1.59382.1407 3.3437
T-T(Second) 2.4375 3.68754.8438

G-LSSVRT-T(Second): 0.8281L-T (Second): —

M: Training points416181

Local-LSSVRL-T(Second)
T-T(Second) 25.4375 25.781326.3906

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.