Data-Driven Parameter Estimation of Nonlinear Ship Manoeuvring Model in Shallow Water Using Truncated Least Squares Support Vector Machines

A data-driven method, the truncated LS-SVM, is proposed for estimating the nondimensional hydrodynamic coefficients of a nonlinear manoeuvring model. Experimental data collected in a shallow water towing tank are utilized in this study. To assess the accuracy and robustness of the truncated LS-SVM m...

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Bibliographic Details

Published in:	Journal of Marine Science and Engineering
Main Authors:	Haitong Xu, C. Guedes Soares
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Subjects:	data-driven parameter estimation large-scale training set truncated LS-SVM shallow water
Online Access:	https://www.mdpi.com/2077-1312/11/10/1865