Open AccessRECURRENT-TYPE NEURAL NETWORKS FOR REAL-TIME SHORT-TERM PREDICTION OF SHIP MOTIONS IN HIGH SEA STATE
Author(s) -
Danny D’Agostino,
Andrea Serani,
Frederick Stern,
Matteo Diez
Publication year - 2022
Language(s) - English
DOI - 10.2218/marine2021.6851
Subject(s) - nowcasting , long term prediction , recurrent neural network , artificial neural network , term (time) , stern , computer science , state (computer science) , set (abstract data type) , data set , time series , marine engineering , meteorology , artificial intelligence , algorithm , machine learning , engineering , geography , telecommunications , physics , quantum mechanics , programming language