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	Improved recursive least squares algorithm based on echo state neural network for nonlinear system identification
	Song, Qingsong; Zhao, Xiangmo; Feng, Zuren
	2011
关键词	Connection weights Echo state networks Echo state neural networks Modeling nonlinear system Potential capacity Recurrent neural network (RNN) Recursive least square algorithms Recursive least squares algorithms
期号	[db:dc_citation_issue]
DOI	[db:dc_identifier_doi]
页码	1692-1695
会议录	Proceedings of the 30th Chinese Control Conference, CCC 2011
URL标识	查看原文
ISSN号	9789881725592
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/4488168
专题	西安交通大学
推荐引用方式 GB/T 7714	Song, Qingsong,Zhao, Xiangmo,Feng, Zuren. Improved recursive least squares algorithm based on echo state neural network for nonlinear system identification[C]. 见:.

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