Mathematical Problems in Engineering / 2018 / Article / Tab 9

Research Article

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

Table 9

Comparison results of the selected different overlap factor for our approach are shown for Example 3, 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 =501RMSERMSEL-T
=5(Training)(Testing)(second)

=1.11061061181181170.25310.01420.2813

=2.52681832661832670.27560.28810.3438

=7

=1.1839998979898830.22870.25370.2656

=2.52221471472152222212150.28180.28940.4063

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.