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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Vydané v:	Neurocomputing (Amsterdam) Ročník 647; s. 130548
Hlavní autori:	Chu, Fei, Sun, Zihang, Wang, Yu, Zhang, Yong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 28.09.2025
Predmet:	Least squares regression Randomized algorithms Robust regression Stochastic configuration network Randomized algorithms Robust regression Stochastic configuration network Least squares regression
ISSN:	0925-2312
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