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Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-17
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Wenjun& Liu, Zhengjiang. 2014. Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-452029
Modern Language Association (MLA)
Zhang, Wenjun& Liu, Zhengjiang. Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-452029
American Medical Association (AMA)
Zhang, Wenjun& Liu, Zhengjiang. Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-452029
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452029