Ship motion forecasting is very important for safety of ships especially when operating in offshore mooring state. It is known that the ship motions have dynamical and nonlinear characteristics in the ocean and sea environments. In our paper we try to predict the manoeuvrability of the ships applying the predicted nonlinear wave field with the current state of the vessel motions using ship course time series prediction, which is based on back propagation neural network structure and algorithm, was proposed. The results of simulations performed by means of the elaborated networks are given in comparison with test simulations cases for different value of rudder angle. This method was applied to ship manoeuvrability prediction, and simulation results showed the validity to improving the prediction accuracy.
Ship Manoeuvrability Prediction Using Neural Networks Analysis
Advanced Materials Research ; 1036 ; 946-951
2014-10-01
6 pages
Article (Journal)
Electronic Resource
English
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TIBKAT | 1972
|Systematic approach for ship manoeuvrability prediction
British Library Conference Proceedings | 1996
|Ship manoeuvrability analysis using the differencial approach
Tema Archive | 1987
|Application of artificial neural networks to assessment of ship manoeuvrability qualities
Online Contents | 2008
|Integrating Ship Manoeuvrability with Safety
British Library Conference Proceedings | 1993
|