FP-ELM: An online sequential learning algorithm for dealing with concept drift

The online sequential extreme learning machine (OS-ELM) algorithm is an on-line and incremental learning method, which can learn data one-by-one or chunk-by-chunk with a fixed or varying chunk size. And OS-ELM achieves the same learning performance as ELM trained by the complete set of data. However...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 207; S. 322 - 334
Hauptverfasser:	Liu, Dong, Wu, YouXi, Jiang, He
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 26.09.2016
Schlagworte:	Concept drift Extreme learning machine Online/incremental learning Regularized optimization method Online/incremental learning Extreme learning machine Concept drift Regularized optimization method
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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