An Estimation of Ship Collision Risk Based on Relevance Vector Machine
According to the statistics of maritime collision accidents over the last five years (2016–2020), 95% of the total maritime collision accidents are caused by human factors. Machine learning algorithms are an emerging approach in judging the risk of collision among vessels and supporting reliable dec...
Main Authors: | Jinwan Park, Jung-Sik Jeong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/9/5/538 |
Similar Items
-
Sparse Bayesian Relevance Vector Machine Identification Modeling and Its Application to Ship Maneuvering Motion Prediction
by: Yao Meng, et al.
Published: (2023-08-01) -
New SNR estimation algorithm based on relevance vector machine
by: Bo HAN, et al.
Published: (2013-04-01) -
New SNR estimation algorithm based on relevance vector machine
by: Bo HAN, et al.
Published: (2013-04-01) -
Support vector machines /
by: 208101 Steinwart, Ingo, et al.
Published: (2008) -
EOG feature relevance determination for microsleep detection
by: Golz Martin, et al.
Published: (2017-09-01)