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	Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems
	Lu, Xinjiang*; Yin, Feng; Liu, Chang; Huang, Minghui
刊名	IEEE Transactions on Industrial Informatics
	2017
卷号	13期号:4页码:1753-1762
关键词	Distributed parameter system (DPS) extreme learning machine (ELM) modeling nonlinear process time-varying
ISSN号	1551-3203
DOI	10.1109/TII.2017.2666841
URL标识	查看原文
WOS记录号	WOS:000406933400026;EI:20173804174331
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3340935
专题	中南大学
作者单位	1.[Huang, Minghui 2.Yin, Feng 3.Lu, Xinjiang 4.Liu, Chang] Cent S Univ, Sch Mech & Elect Engn, State Key Lab High Performance Complex Mfg, Changsha 410083, Peoples R China.
推荐引用方式 GB/T 7714	Lu, Xinjiang*,Yin, Feng,Liu, Chang,et al. Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems[J]. IEEE Transactions on Industrial Informatics,2017,13(4):1753-1762.
APA	Lu, Xinjiang*,Yin, Feng,Liu, Chang,&Huang, Minghui.(2017).Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems.IEEE Transactions on Industrial Informatics,13(4),1753-1762.
MLA	Lu, Xinjiang*,et al."Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems".IEEE Transactions on Industrial Informatics 13.4(2017):1753-1762.

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