A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network

Ship trajectory prediction is a key requisite for maritime navigation early warning and safety, but accuracy and computation efficiency are major issues still to be resolved. The research presented in this paper introduces a deep learning framework and a Gate Recurrent Unit (GRU) model to predict ve...

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Detalles Bibliográficos
Autores principales: Suo, Yongfeng, Chen, Wenke, Claramunt, Christophe, Yang, Shenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570964/
https://www.ncbi.nlm.nih.gov/pubmed/32916845
http://dx.doi.org/10.3390/s20185133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570964/
https://www.ncbi.nlm.nih.gov/pubmed/32916845
http://dx.doi.org/10.3390/s20185133

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