A meta-cognitive learning algorithm for an extreme learning machine classifier

A meta-cognitive learning algorithm for an extreme learning machine classifier

This paper presents an efficient fast learning classifier based on the Nelson and Narens model of human meta-cognition, namely ‘Meta-cognitive Extreme Learning Machine (McELM).’ McELM has two components: a cognitive component and a meta-cognitive component. The cognitive component of McELM is a thre...

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Suresh, Sundaram, Savitha, R., Kim, H. J.
Бусад зохиолчид:	School of Computer Engineering
Формат:	Journal Article
Хэл сонгох:	English
Хэвлэсэн:	2013
Нөхцлүүд:	DRNTU::Engineering::Computer science and engineering
Онлайн хандалт:	https://hdl.handle.net/10356/101260 http://hdl.handle.net/10220/16777

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