An Artificial Neural Network-Based Method for Prediction of Ice Resistance of Polar Ships

Accurate prediction of ice resistance plays an important role in ensuring the safety of ship sailing in polar navigation in ice areas. In recent years, machine learning has been widely used in the field of ships, among which artificial neural network (ANN) is a common method. The focus of this paper...

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Bibliographic Details

Published in:	Shanghai Jiaotong Daxue xuebao
Main Author:	SUN Qianyang, ZHOU Li, DING Shifeng, LIU Renwei, DING Yi
Format:	Article
Language:	Chinese
Published:	Editorial Office of Journal of Shanghai Jiao Tong University 2024-02-01
Subjects:	ice resistance machine learning radial basis function (rbf) neural network genetic algorithm (ga) ship test
Online Access:	https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-2-156.shtml