Trajectory prediction based on AIS and BP neural network

Autor:	Guoxin Ni, Zhiyuan Zhang, Yanguo Xu
Rok vydání:	2020
Předmět:	Artificial neural network Computer science 0103 physical sciences Trajectory Network structure 020101 civil engineering 02 engineering and technology Data mining computer.software_genre 01 natural sciences computer 010305 fluids & plasmas 0201 civil engineering
Zdroj:	2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
DOI:	10.1109/itaic49862.2020.9339085
Popis:	According to the characteristics of ship navigation and the demand of ship trajectory prediction, this paper proposes a prediction method combining AIS information and BP neural network. Based on the characteristics of AIS ship information, the BP network structure is constructed to predict the future trajectory with the input of historical trajectory and current information. The results show that the BP neural network is feasible for trajectory prediction.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3520fdc737e25caf4aab1bbfc69780de https://doi.org/10.1109/itaic49862.2020.9339085 Zobrazit plný text záznamu