Research on Accurate Prediction of the Container Ship Resistance by RBFNN and Other Machine Learning Algorithms

Research on Accurate Prediction of the Container Ship Resistance by RBFNN and Other Machine Learning Algorithms

Resistance is one of the important performance indicators of ships. In this paper, a prediction method based on the Radial Basis Function neural network (RBFNN) is proposed to predict the resistance of a 13500 transmission extension unit (13500TEU) container ship at different drafts. The predicted d...

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Bibliographic Details
Main Authors: Yunfei Yang, Haiwen Tu, Lei Song, Lin Chen, De Xie, Jianglong Sun
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Marine Science and Engineering
Subjects:
resistance prediction
container ship
Radial Basis Function neural network
machine learning
dimensionless features
Online Access:https://www.mdpi.com/2077-1312/9/4/376

Internet

https://www.mdpi.com/2077-1312/9/4/376

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