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Water level forecasting using a hybrid algorithm of artificial neural networks and local Kalman filtering
Zhong, Cheng; Jiang, Zhonglian*; Chu, Xiumin; Guo, Tao; Wen, Quan
刊名Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment
2019
卷号233期号:1页码:174-185
关键词Water level forecasting artificial neural network model Kalman filtering hybrid algorithm Yangtze River
ISSN号1475-0902
DOI10.1177/1475090217727135
URL标识查看原文
WOS记录号WOS:000458206700013
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3384994
专题武汉理工大学
作者单位1.[Jiang, Zhonglian
2.Zhong, Cheng
3.Chu, Xiumin] Wuhan Univ Technol, Natl Engn Res Ctr Water Transport Safety, Wuhan 430063, Hubei, Peoples R China.
推荐引用方式
GB/T 7714
Zhong, Cheng,Jiang, Zhonglian*,Chu, Xiumin,et al. Water level forecasting using a hybrid algorithm of artificial neural networks and local Kalman filtering[J]. Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment,2019,233(1):174-185.
APA Zhong, Cheng,Jiang, Zhonglian*,Chu, Xiumin,Guo, Tao,&Wen, Quan.(2019).Water level forecasting using a hybrid algorithm of artificial neural networks and local Kalman filtering.Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment,233(1),174-185.
MLA Zhong, Cheng,et al."Water level forecasting using a hybrid algorithm of artificial neural networks and local Kalman filtering".Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment 233.1(2019):174-185.
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