A real-time ship roll motion prediction using wavelet transform and variable RBF network-Reference-Cited by-同舟云学术

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A real-time ship roll motion prediction using wavelet transform and variable RBF network

Published:2018-07 Issue: Volume:160 Page:10-19
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Yin Jian-Chuan,Perakis Anastassios N.,Wang Ning

Funder

National Natural Science Foundation of P. R. China

Dalian Distinguished Young Scholars

Dalian High-level Talents

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference39 articles.

1. Nonlinear model identification and adaptive model predictive control using neural networks;Akpan;ISA Trans.,2011

2. Inland vessel rolling due to severe beam wind: a step towards a realistic model;Backalov;Prob. Eng. Mech.,2010

3. Effect of roll modeling in beam waves under multi-frequency excitation;Bulian;Ocean. Eng.,2011

4. On the parametric rolling of ships using a numerical simulation method;Chang;Ocean. Eng.,2008

5. Wavelet and artificial neural network analyses of tide forecasting and supplement of tides around Taiwan and South China Sea;Chen;Ocean. Eng.,2007

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