System-ldentification for Regular Water Waves

doi:10.3850/978-90-833476-1-5_iahr40wc-p1436-cd

科研成果详情

题名	System-ldentification for Regular Water Waves
作者	Liang，Aoming 1,2; Zheng，Kun 3; Wang，Zhan 4,5; Li，Ruipeng 2; Ge，Mingming 2,6; Fan，Dixia 2
发表日期	2023
会议录名称	Proceedings of the IAHR World Congress
ISSN	2521-7119
页码	2186-2191
摘要	In this paper, we study and estimate the regular water-wave identification methods by use of the Nonlinear auto-regressive model (NARM) and Hammerstein-Wiener model. We analyze and optimize the parameters in multi-regressions. Under the nonlinear group regression model, we selected three common models, such as wavelet transform, decision tree model, and support vector machine model with Gaussian process. Finally, the Hammerstein-Wiener shows a great performance on identification processes. Specifically, we achieve a maximum accuracy of 88% on our validation set. We used the AIC index and NMSE to measure the superiority ofthe model.
关键词	Hammerstein-Wiener model Nonlinearauto-regressive model System identification Waveprediction
DOI	10.3850/978-90-833476-1-5_iahr40wc-p1436-cd
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85187705965
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/12295
专题	个人在本单位外知识产出
作者单位	1.Zhejiang University,Hangzhou,China 2.Key Laboratory of Coastal Environment and Resources of Zhejiang Province,Westlake University,Hangzhou,China 3.China Ship Scientific Research Center,Wuxi,China 4.Harbin Engineering University,Harbin,China 5.Qingdao Innovation and Development Center of Harbin Engineering University,Qingdao,China 6.Macau University of Science and Technology,MSARC,China
推荐引用方式 GB/T 7714	Liang，Aoming,Zheng，Kun,Wang，Zhanet al. System-ldentification for Regular Water Waves[C], 2023: 2186-2191.