Mathematical Problems in Engineering / 2018 / Article / Tab 6

Research Article

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

Table 6

Comparison results of the selected different overlap factor for our approach are shown for Example 2, where represents the number of SRMs, L-T the computational time for constructing all SRMs, and the number of data points for each training subset.

The total training data points =1681RMSERMSEL-T
=6(Training)(Testing)(second)

=1.588088088092092010000.01800.01800.7031

=3.01320132013601600136016000.01890.01891.0781

=7

=1.57608407608808407607608800.01770.01780.7969

=3.0128016001280128012801360136016000.01790.01791.4375

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.