A hybrid ar-emd-svr model for the short-term prediction of nonlinear and non-stationary ship motion
文献类型：期刊论文
| 作者 | Duan, Wen-yang1; Huang, Li-min1; Han, Yang1; Zhang, Ya-hui1; Huang, Shuo2 |
| 刊名 | Journal of zhejiang university-science a
 |
| 出版日期 | 2015-07-01 |
| 卷号 | 16期号:7页码:562-576 |
| 关键词 | Nonlinear and non-stationary ship motion Short-term prediction Empirical mode decomposition (emd) Support vector regression (svr) model Autoregressive (ar) model |
| ISSN号 | 1673-565X |
| DOI | 10.1631/jzus.a1500040 |
| 通讯作者 | Huang, li-min(huanglimin@hrbeu.edu.cn) |
| 英文摘要 | Accurate and reliable short-term prediction of ship motions offers improvements in both safety and control quality in ship motion sensitive maritime operations. inspired by the satisfactory nonlinear learning capability of a support vector regression (svr) model and the strong non-stationary processing ability of empirical mode decomposition (emd), this paper develops a hybrid autoregressive (ar)-emd-svr model for the short-term forecast of nonlinear and non-stationary ship motion. the proposed hybrid model is designed by coupling the svr model with an ar-emd technique, which employs an ar model in ends extension. in addition to the ar-emd-svr model, the linear ar model, non-linear svr model, and hybrid emd-ar model are also studied for comparison by using ship motion time series obtained from model testing in a towing tank. prediction results suggest that the non-stationary difficulty in the svr model is overcome by using the ar-emd technique, and better predictions are obtained by the proposed ar-emd-svr model than other models. |
| WOS关键词 | SUPPORT VECTOR REGRESSION ; TIME-SERIES ; DECOMPOSITION ; UNCERTAINTY ; TRANSFORMS ; RESPONSES ; RECOVERY ; DESIGN ; LOADS |
| WOS研究方向 | Engineering ; Physics |
| WOS类目 | Engineering, Multidisciplinary ; Physics, Applied |
| 语种 | 英语 |
| WOS记录号 | WOS:000357747000005 |
| 出版者 | ZHEJIANG UNIV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374049 |
| 专题 | 物理研究所 |
| 通讯作者 | Huang, Li-min |
| 作者单位 | 1.Harbin Engn Univ, Dept Shipbldg Engn, Harbin 150001, Peoples R China 2.Chinese Acad Sci, Key Lab Renewable Energy, Guangzhou 510640, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Wen-yang,Huang, Li-min,Han, Yang,et al. A hybrid ar-emd-svr model for the short-term prediction of nonlinear and non-stationary ship motion[J]. Journal of zhejiang university-science a,2015,16(7):562-576. |
| APA | Duan, Wen-yang,Huang, Li-min,Han, Yang,Zhang, Ya-hui,&Huang, Shuo.(2015).A hybrid ar-emd-svr model for the short-term prediction of nonlinear and non-stationary ship motion.Journal of zhejiang university-science a,16(7),562-576. |
| MLA | Duan, Wen-yang,et al."A hybrid ar-emd-svr model for the short-term prediction of nonlinear and non-stationary ship motion".Journal of zhejiang university-science a 16.7(2015):562-576. |
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来源：物理研究所
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