Mathematical Problems in Engineering / 2018 / Article / Tab 4

Research Article

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

Table 4

Comparison results of the proposed method, [15], G-LSSVR and Local-LSSVR with the hyper-parameter set , and the overlap factor as 1.5 are shown for Example 2.

: the number of the SRMs RMSE (Training)RMSE (Testing)
our approach[15]our approach[15]







M=49 training points0.12100.1288

M=81 training points0.04770.0558

M=121 training points0.02490.0282

M=169 training points0.01600.0190

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 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.