This paper compares between the results obtained in manoeuvrability trials and simulated trajectories using Artificial Neural Networks. The tests considered in this paper were carried out with a fast patrol vessel. A Recursive Neural Network manoeuvring simulation model for surface ships has been developed. Input to the simulation are the orders of rudder angle, the ship’s speed and the recursive output velocities of sway and yaw. The comparison between tests and simulations show the good performance of the model.
Comparison between Manoeuvring Trials and Simulations with Recursive Neural Networks
Ship Technology Research ; 50 , 2 ; 77-84
01.04.2003
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Comparison between Manoeuvring Trials and Simulations with Recursive Neural Networks
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