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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Vydané v:	Neurocomputing (Amsterdam) Ročník 207; s. 322 - 334
Hlavní autori:	Liu, Dong, Wu, YouXi, Jiang, He
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 26.09.2016
Predmet:	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
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