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 Weilin Luo,Zhicheng Zhang.Modeling of Ship Maneuvering Motion Using Neural Networks[J].Journal of Marine Science and Application,2016,(4):426-432.[doi:10.1007/s11804-016-1380-8]
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Modeling of Ship Maneuvering Motion Using Neural Networks


Modeling of Ship Maneuvering Motion Using Neural Networks
Weilin Luo12 Zhicheng Zhang1
Weilin Luo12 Zhicheng Zhang1
1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China;
2. Fujian Province Key Laboratory of Structural Performances in Ship and Ocean Engineering, Fuzhou 350116, China
ship maneuvering|response models|mathematical modeling group model|system identification|neural networks
In this paper, Neural Networks (NNs) are used in the modeling of ship maneuvering motion. A nonlinear response model and a linear hydrodynamic model of ship maneuvering motion are also investigated. The maneuverability indices and linear non-dimensional hydrodynamic derivatives in the models are identified by using two-layer feed forward NNs. The stability of parametric estimation is confirmed. Then, the ship maneuvering motion is predicted based on the obtained models. A comparison between the predicted results and the model test results demonstrates the validity of the proposed modeling method.


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Received date:2015-12-31;Accepted date:2016-8-4。
Foundation item:Partially Supported by the Special Item for the Fujian Provincial Department of Ocean and Fisheries (No. MHGX-16), and the Special Item for Universities in Fujian Province by the Education Department (No. JK15003)
Corresponding author:Weilin Luo
Last Update: 2016-11-24