Publications

Moreira, L. and Guedes Soares, C. (2003), “Dynamic Model of Manoeuvrability using Recursive Neural Networks”, Ocean Engineering, Vol. 30, pp. 1669-1697

This paper presents a Recursive Neural Network manoeuvring simulation model for surface ships. Inputs to the simulation are the orders of rudder angle and ship’s speed and also the recursive outputs velocities of sway and yaw. This model is used to test the capabilities of artificial neural networks in manoeuvring simulation of ships. Two manoeuvres are simulated: tactical circles and zigzags. The results between both simulations are compared in order to analyse the accuracy of the Recursive Neural Network. The simulations are performed for the Mariner hull. The data generated to train the network is obtained from a manoeuvrability model performing the simulation of different manoeuvring tests. The Recursive Neural Network proved to be a robust and accurate tool for manoeuvring simulation.

You can download this paper from: http://www.sciencedirect.com/science/article/pii/S0029801802001476

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