Stochastic gradient based extreme learning machines for stable online learning of advanced combustion engines

We propose and develop SG-ELM, a stable online learning algorithm based on stochastic gradients and Extreme Learning Machines (ELM). We propose SG-ELM particularly for systems that are required to be stable during learning; i.e., the estimated model parameters remain bounded during learning. We use...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 177; číslo C; s. 304 - 316
Hlavní autori:	Janakiraman, Vijay Manikandan, Nguyen, XuanLong, Assanis, Dennis
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 12.02.2016 Elsevier
Predmet:	Engine control Extreme learning machine Lyapunov stability Online learning Operating envelope System identification Lyapunov stability Operating envelope Engine control System identification Extreme learning machine Online learning
ISSN:	0925-2312, 1872-8286
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