Development of Machine Learning Strategy for Predicting the Risk Range of Ship’s Berthing Velocity

Development of Machine Learning Strategy for Predicting the Risk Range of Ship’s Berthing Velocity

Ships are prone to accidents when approaching in a berthing velocity greater than that allowed when determining the risk range corresponding to a port. Therefore, this study develops a machine learning strategy to predict the risk range of an unsafe berthing velocity when the ship approaches in port...

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Bibliographic Details
Main Authors: Hyeong-Tak Lee, Jeong-Seok Lee, Woo-Ju Son, Ik-Soon Cho
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Journal of Marine Science and Engineering
Subjects:
berthing velocity
safely berth
machine learning
confusion matrix
classification
Online Access:https://www.mdpi.com/2077-1312/8/5/376

Internet

https://www.mdpi.com/2077-1312/8/5/376

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