Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states

no code implementations • 23 Dec 2019 • José del Águila Ferrandis, Michael Triantafyllou, Chryssostomos Chryssostomidis, George Karniadakis

Here, we put forward a new simulation paradigm by training recurrent type neural networks (RNNs) that take as input the stochastic wave elevation at a certain sea state and output the main vessel motions, e. g., pitch, heave and roll.