ESTIMATING PARAMETERS OF MUSKINGUM MODEL USING AN ADAPTIVE HYBRID PSO ALGORITHM | |
Ouyang, Aijia; Tang, Zhuo; Li, Kenli; Sallam, Ahmed; Sha, Edwin | |
刊名 | International Journal of Pattern Recognition and Artificial Intelligence
![]() |
2014 | |
卷号 | Vol.28 No.1页码:1459003 |
关键词 | Particle swarm optimization Broyden–Fletcher–Goldfarb–Shanno adaptation hybrid algorithm Muskingum model |
ISSN号 | 0218-0014 |
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/6107018 |
专题 | 湖南大学 |
作者单位 | 1.College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, China 2.Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt 3.College of Computer Science, Chongqing University, Chongqing 400044, C |
推荐引用方式 GB/T 7714 | Ouyang, Aijia,Tang, Zhuo,Li, Kenli,et al. ESTIMATING PARAMETERS OF MUSKINGUM MODEL USING AN ADAPTIVE HYBRID PSO ALGORITHM[J]. International Journal of Pattern Recognition and Artificial Intelligence,2014,Vol.28 No.1:1459003. |
APA | Ouyang, Aijia,Tang, Zhuo,Li, Kenli,Sallam, Ahmed,&Sha, Edwin.(2014).ESTIMATING PARAMETERS OF MUSKINGUM MODEL USING AN ADAPTIVE HYBRID PSO ALGORITHM.International Journal of Pattern Recognition and Artificial Intelligence,Vol.28 No.1,1459003. |
MLA | Ouyang, Aijia,et al."ESTIMATING PARAMETERS OF MUSKINGUM MODEL USING AN ADAPTIVE HYBRID PSO ALGORITHM".International Journal of Pattern Recognition and Artificial Intelligence Vol.28 No.1(2014):1459003. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论