A machine learning method for the prediction of ship motion trajectories in real operational conditions-Reference-Cited by-同舟云学术

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A machine learning method for the prediction of ship motion trajectories in real operational conditions

Published:2023-09 Issue: Volume:283 Page:114905
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Zhang Mingyang^ORCID,Kujala Pentti^ORCID,Musharraf Mashrura,Zhang Jinfen^ORCID,Hirdaris Spyros^ORCID

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference86 articles.

1. Sparse convolved Gaussian processes for multi-output regression;Alvarez;Adv. Neural Inf. Process. Syst.,2008

2. Modified genetic optimisation-based locally weighted learning identification modeling of ship maneuvering with full scale trial;Bai;Future Generat. Comput. Syst.,2019

3. Time simulation of manoeuvring and seakeeping assessments using a unified mathematical model;Bailey;Trans. R. Inst. Nav. Archit.,2002

4. A risk analysis of winter navigation in Finnish sea areas;Banda;Accid. Anal. Prev.,2015

5. Virtual special issue: autonomous vessels safety;Banda;Saf. Sci.,2021

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