Prediction of Parametric Roll Resonance by Multilayer Perceptron Neural Network

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2011

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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.
Original languageEnglish
Title of host publicationProceedings of the Twenty-first International Offshore and Polar Engineering Conference
Publication date2011
ISBN (print)978-1-880653-96-8
StatePublished - 2011
Event21st International Offshore and Polar Engineering Conference - Maui, Hawaii, United States


Conference21st International Offshore and Polar Engineering Conference
CountryUnited States
CityMaui, Hawaii
Internet address


  • Fishing vessels, Parametric roll, Artificial neural networks, Prediction systems
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ID: 5647470