典型文献
A hybrid forecasting model for depth-averaged current velocities of underwater gliders
文献摘要：
In this paper, we propose a hybrid forecasting model to improve the forecasting accuracy for depth-averaged current velocities (DACVs) of underwater gliders. The hybrid model is based on a discrete wavelet transform (DWT), a deep belief network (DBN), and a least squares support vector machine (LSSVM). The original DACV series are first decomposed into several high- and one low-frequency subseries by DWT. Then, DBN is used for high-frequency component forecasting, and the LSSVM model is adopted for low-frequency subseries. The effectiveness of the proposed model is verified by two groups of DACV data from sea trials in the South China Sea. Based on four general error criteria, the forecast performance of the proposed model is demonstrated. The comparison models include some well-recognized single models and some related hybrid models. The performance of the proposed model outperformed those of the other methods indicated above.
文献关键词：
中图分类号：
作者姓名：
Yaojian Zhou;Yonglai Zhang;Wenai Song;Shijie Liu;Baoqiang Tian
作者机构：
Software School,North University of China,Taiyuan 030051,China;State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;School of Mechanical Engineering,North China University of Water Resources and Electric Power,Zhengzhou 450045,China
文献出处：
引用格式：
[1]Yaojian Zhou;Yonglai Zhang;Wenai Song;Shijie Liu;Baoqiang Tian-.A hybrid forecasting model for depth-averaged current velocities of underwater gliders)[J].海洋学报（英文版）,2022(09):182-191
A类：
DACVs,DACV,subseries
B类：
hybrid,forecasting,depth,averaged,current,velocities,underwater,gliders,In,this,paper,improve,accuracy,discrete,wavelet,transform,DWT,deep,belief,network,DBN,least,squares,support,vector,machine,LSSVM,original,first,decomposed,into,several,high,low,frequency,by,Then,used,component,adopted,effectiveness,proposed,verified,groups,data,from,sea,trials,South,China,Sea,Based,four,general,error,criteria,performance,demonstrated,comparison,models,include,some,well,recognized,single,related,outperformed,those,other,methods,indicated,above
AB值：
0.502659
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