应用神经网络研究浅水区船舶操纵能力

IF 2.7 3区 地球科学 Q1 ENGINEERING, MARINE Journal of Marine Science and Engineering Pub Date : 2024-09-17 DOI:10.3390/jmse12091664
Lúcia Moreira, C. Guedes Soares
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引用次数: 0

摘要

在浅水拖曳槽中对杜伊斯堡试验案例后巴拿马型集装箱船模型进行了一组平面运动机制实验,应用于训练神经网络,以分析拟议模型学习不同水深条件对船舶操纵能力影响的能力。本文提出的工作动机是通过人工神经网络为非线性系统建模提供另一种有效方法,以解决船舶在浅水中的操纵模拟问题。该系统采用 Levenberg-Marquardt 反向传播训练算法和弹性反向传播方案进行开发,以证明船舶力与各自轨迹和速度之间的相关性。进行了敏感性分析,以确定所提议的模型在两个不同深度预测船舶操纵特性所需的层数。拟议系统取得的成果表明,该系统在预测浅水区不同深度的船舶操纵方面具有出色的准确性和能力。
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Investigation of Vessel Manoeuvring Abilities in Shallow Depths by Applying Neural Networks
A set of planar motion mechanism experiments of the Duisburg Test Case Post-Panamax container model executed in a towing tank with shallow depth is applied to train a neural network to analyse the ability of the proposed model to learn the effects of different depth conditions on ship’s manoeuvring capabilities. The motivation of the work presented in this paper is to contribute an alternative and effective approach to model non-linear systems through artificial neural networks that address the manoeuvring simulation of ships in shallow water. The system is developed using the Levenberg–Marquardt backpropagation training algorithm and the resilient backpropagation scheme to demonstrate the correlation between the vessel forces and the respective trajectories and velocities. Sensitivity analyses were performed to identify the number of layers necessary for the proposed model to predict the vessel manoeuvring characteristics in two different depths. The outcomes achieved with the proposed system have shown excellent accuracy and ability in predicting ship manoeuvring with varying depths of shallow water.
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来源期刊
Journal of Marine Science and Engineering
Journal of Marine Science and Engineering Engineering-Ocean Engineering
CiteScore
4.40
自引率
20.70%
发文量
1640
审稿时长
18.09 days
期刊介绍: Journal of Marine Science and Engineering (JMSE; ISSN 2077-1312) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to marine science and engineering. It publishes reviews, research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
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