Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network
A wavelet neural network with time delay is proposed based on nonlinear autoregressive model with exogenous inputs (NARMAX) model, and the sensitivity method is applied in the selection of network inputs. The inclusion of delayed system information improves the network’s capability of representing t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/176297 |
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| _version_ | 1832546077783359488 |
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| author | Wenjun Zhang Zhengjiang Liu |
| author_facet | Wenjun Zhang Zhengjiang Liu |
| author_sort | Wenjun Zhang |
| collection | DOAJ |
| description | A wavelet neural network with time delay is proposed based on nonlinear autoregressive model with exogenous inputs (NARMAX) model, and the sensitivity method is applied in the selection of network inputs. The inclusion of delayed system information improves the network’s capability of representing the dynamic changes of time-varying systems. The implement of sensitivity analysis reduces the dimension of input as well as the dimension of networks, thus improving its generalization ability. The time delay wavelet neural network was implemented to real-time ship motion prediction, simulations are conducted based on the measured data of vessel “YUKUN,” and the results demonstrate that the feasibility of the proposed method. |
| format | Article |
| id | doaj-art-b0462f4962054366adaede63e31adc4e |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-b0462f4962054366adaede63e31adc4e2025-02-03T07:23:52ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/176297176297Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural NetworkWenjun Zhang0Zhengjiang Liu1Navigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaA wavelet neural network with time delay is proposed based on nonlinear autoregressive model with exogenous inputs (NARMAX) model, and the sensitivity method is applied in the selection of network inputs. The inclusion of delayed system information improves the network’s capability of representing the dynamic changes of time-varying systems. The implement of sensitivity analysis reduces the dimension of input as well as the dimension of networks, thus improving its generalization ability. The time delay wavelet neural network was implemented to real-time ship motion prediction, simulations are conducted based on the measured data of vessel “YUKUN,” and the results demonstrate that the feasibility of the proposed method.http://dx.doi.org/10.1155/2014/176297 |
| spellingShingle | Wenjun Zhang Zhengjiang Liu Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network Journal of Applied Mathematics |
| title | Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network |
| title_full | Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network |
| title_fullStr | Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network |
| title_full_unstemmed | Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network |
| title_short | Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network |
| title_sort | real time ship motion prediction based on time delay wavelet neural network |
| url | http://dx.doi.org/10.1155/2014/176297 |
| work_keys_str_mv | AT wenjunzhang realtimeshipmotionpredictionbasedontimedelaywaveletneuralnetwork AT zhengjiangliu realtimeshipmotionpredictionbasedontimedelaywaveletneuralnetwork |