Conference paper
Prediction of Parametric Roll Resonance by Multilayer Perceptron Neural Network
Parametric roll resonance is a ship stability related phenomenon that generates sudden large amplitude oscillations up to 30-40 degrees of roll. This can cause severe damage, and it can put the crew in serious danger. The need for a parametric rolling real time prediction system has been acknowledged in the last few years.
This work proposes a prediction system based on a multilayer perceptron (MP) neural network. The training and testing of the MP network is accomplished by feeding it with simulated data of a three degrees-of-freedom nonlinear model of a fishing vessel. The neural network is shown to be capable of forecasting the ship’s roll motion in realistic scenarios.
Language: | English |
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Year: | 2011 |
Pages: | 522-529 |
Proceedings: | 21st International Offshore and Polar Engineering Conference |
ISBN: | 1880653966 and 9781880653968 |
Types: | Conference paper |
ORCIDs: | Galeazzi, Roberto and Blanke, Mogens |