Time Series Prediction Methods for Depth-Averaged Current Velocities of Underwater Gliders

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	Time Series Prediction Methods for Depth-Averaged Current Velocities of Underwater Gliders
	Yu JC(俞建成); Zhou YJ(周耀鉴); Wang XH(王晓辉)
刊名	IEEE ACCESS
	2017
卷号	5 页码:5773-5384
关键词	Underwater glider time series depth-averaged current velocities (DACVs)
ISSN号	2169-3536
通讯作者	Yu JC(俞建成)
产权排序	1
中文摘要	In this paper, we propose time series prediction methods for depth-averaged current velocities (DACVs) of underwater gliders. Based on historical DACV data, these methods can predict the DACVs of future profiles with good performance. Regarding DACVs as time series, we use backpropagation neural network and least squares support vector machine (LSSVM) methods to predict the DACVs. To obtain better prediction performance, the features of DACVs are considered, and we use empirical mode decomposition (EMD) to decompose the time series into several sub-series. Then, the two methods are reused to predict each sub-series, and the results of all the sub-series with each method are added. Based on the real-time DACVs obtained from the simulation environment and the DACVs obtained from sea trials, we test and verify the four methods. The results demonstrate that all the methods exhibit a good prediction performance for conditions in which ocean currents are relatively regular; whereas in other cases, EMD-LSSVM shows inherent robustness and superiority compared with the other three methods.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
研究领域[WOS]	Computer Science ; Engineering ; Telecommunications
关键词[WOS]	MONTEREY BAY
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000401431300066
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/20499]
专题	海洋机器人卓越创新中心
作者单位	1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式 GB/T 7714	Yu JC,Zhou YJ,Wang XH. Time Series Prediction Methods for Depth-Averaged Current Velocities of Underwater Gliders[J]. IEEE ACCESS,2017,5:5773-5384.
APA	Yu JC,Zhou YJ,&Wang XH.(2017).Time Series Prediction Methods for Depth-Averaged Current Velocities of Underwater Gliders.IEEE ACCESS,5,5773-5384.
MLA	Yu JC,et al."Time Series Prediction Methods for Depth-Averaged Current Velocities of Underwater Gliders".IEEE ACCESS 5(2017):5773-5384.