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	Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm
	Niu, Wen-jing; Feng, Zhong-kai; Zeng, Ming; Feng, Bao-fei; Min, Yao-wu; Cheng, Chun-tian; Zhou, Jian-zhong
刊名	APPLIED SOFT COMPUTING
	2019
卷号	82
关键词	Monthly streamflow prediction Ensemble empirical mode decomposition (EEMD) Extreme learning machine (ELM) Improved gravitational search algorithm (IGSA) Mutation and selection operators
ISSN号	1568-4946
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3231278
专题	大连理工大学
作者单位	1.ChangJiang Water Resources Commiss, Bur Hydrol, Wuhan 430010, Hubei, Peoples R China. 2.Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China. 3.Dalian Univ Technol, Inst Hydropower & Hydroinformat, Dalian 116024, Peoples R China.
推荐引用方式 GB/T 7714	Niu, Wen-jing,Feng, Zhong-kai,Zeng, Ming,et al. Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm[J]. APPLIED SOFT COMPUTING,2019,82.
APA	Niu, Wen-jing.,Feng, Zhong-kai.,Zeng, Ming.,Feng, Bao-fei.,Min, Yao-wu.,...&Zhou, Jian-zhong.(2019).Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm.APPLIED SOFT COMPUTING,82.
MLA	Niu, Wen-jing,et al."Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm".APPLIED SOFT COMPUTING 82(2019).

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