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Hybrid particle swarm optimization for parameter estimation of Muskingum model
Ouyang, AJ; Li, KL; Truong, TK; Sallam, A; Sha, EHM
刊名Neural Computing and Applications
2014
卷号Vol.25 No.7-8页码:1785-1799
关键词Particle swarm optimization Nelder–Mead simplex method Muskingum model Hybrid algorithm Parameter estimation
ISSN号0941-0643
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6101079
专题湖南大学
作者单位1.Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China
2.Ind Univ Hochiminh City, Fac Informat Technol, Ho Chi Minh City, Vietnam
3.Suez Canal Univ, Fac Comp & Informat, Ismailia, Egypt
4.Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China
推荐引用方式
GB/T 7714
Ouyang, AJ,Li, KL,Truong, TK,et al. Hybrid particle swarm optimization for parameter estimation of Muskingum model[J]. Neural Computing and Applications,2014,Vol.25 No.7-8:1785-1799.
APA Ouyang, AJ,Li, KL,Truong, TK,Sallam, A,&Sha, EHM.(2014).Hybrid particle swarm optimization for parameter estimation of Muskingum model.Neural Computing and Applications,Vol.25 No.7-8,1785-1799.
MLA Ouyang, AJ,et al."Hybrid particle swarm optimization for parameter estimation of Muskingum model".Neural Computing and Applications Vol.25 No.7-8(2014):1785-1799.
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