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	Generalized Single-Hidden Layer Feedforward Networks for Regression Problems
	Wang, Ning; Er, Meng Joo; Han, Min
刊名	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2015
卷号	26页码:1161-1176
关键词	Approximation capability extreme learning machine (ELM) generalized single-hidden layer feedforward networks (GSLFN) polynomial output weights ridge regression
ISSN号	2162-237X
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4406598
专题	大连理工大学
作者单位	1.Dalian Maritime Univ, Sch Marine Engn, Dalian 116026, Peoples R China. 2.Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore. 3.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China.
推荐引用方式 GB/T 7714	Wang, Ning,Er, Meng Joo,Han, Min. Generalized Single-Hidden Layer Feedforward Networks for Regression Problems[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2015,26:1161-1176.
APA	Wang, Ning,Er, Meng Joo,&Han, Min.(2015).Generalized Single-Hidden Layer Feedforward Networks for Regression Problems.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,26,1161-1176.
MLA	Wang, Ning,et al."Generalized Single-Hidden Layer Feedforward Networks for Regression Problems".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 26(2015):1161-1176.

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