Mathematical Problems in Engineering / 2018 / Article / Tab 7

Research Article

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

Table 7

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 3.

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

3-SRMs0.25230.27150.25460.2832

5-SRMS0.25310.26590.26610.2762

7-SRMs0.22870.24870.25370.2645

9-SRMs0.22980.24650.24640.2583

G-LSSVR0.29220.3185

Local-LSSVR

M=21 training points1.85831.8721

M=41 training points0.23320.3383

M=61 training points0.22590.3267

M=81 training points0.24330.3561

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.