An adaptive ensemble of on-line Extreme Learning Machines with variable forgetting factor for dynamic system prediction

A demand for predictive models for on-line estimation of variables is increasing in industry. As industrial processes are time-varying, on-line learning algorithms should be adaptive to capture process changes. On-line ensemble methods have been shown to provide better generalization performance tha...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 171; no. C; pp. 693 - 707
Main Authors:	Soares, Symone G., Araújo, Rui
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.01.2016 Elsevier
Subjects:	On-line ensemble On-line Extreme Learning Machines Ordered aggregation Variable forgetting factor Variable forgetting factor On-line Extreme Learning Machines On-line ensemble Ordered aggregation
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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