Stochastic configuration networks with robust supervised least squares regression

Stochastic Configuration Networks (SCNs) are widely used in regression modeling to fit data distributions due to their fast convergence and powerful learning capabilities. However, in practical industrial applications, labeled outliers in the dataset inevitably appear, which can destroy the internal...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 647; p. 130548
Main Authors:	Chu, Fei, Sun, Zihang, Wang, Yu, Zhang, Yong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 28.09.2025
Subjects:	Least squares regression Randomized algorithms Robust regression Stochastic configuration network Randomized algorithms Robust regression Stochastic configuration network Least squares regression
ISSN:	0925-2312
Online Access:	Get full text
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