基于 APSO 的 TPA-BLSTM 模型，利用波浪序列输入预测不规则波浪中的船舶运动

IF 1.7 4区工程技术 Q2 ENGINEERING, MARINE

Ships and Offshore Structures Pub Date : 2024-04-03 DOI:10.1080/17445302.2024.2336675

Jiansheng Xue, Zhiliang Gao, Wenhai Yi

引用次数: 0

摘要

结合双向长短期记忆神经网络和时间模式注意机制，建立了一个基于多特征输入的机器学习模型，用于预测船舶运动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An APSO-based TPA-BLSTM model for predicting ship motion in irregular waves using wave-series input

Combining the bidirectional long short-term memory neural network and temporal pattern attention mechanism, a machine learning model based on multi-feature inputs is developed to predict ship motio...

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来源期刊

Ships and Offshore Structures ENGINEERING, MARINE-

CiteScore

4.50

自引率

14.30%

发文量

164

审稿时长

7.5 months

期刊介绍： Ships and Offshore Structures is an international, peer-reviewed journal which provides an authoritative forum for publication and discussion of recent advances and future trends in all aspects of technology across the maritime industry. The Journal covers the entire range of issues and technologies related to both ships (including merchant ships, war ships, polar ships etc.) and offshore structures (floating and fixed offshore platforms, offshore infrastructures, underwater vehicles etc.) with a strong emphasis on practical design, construction and operation. Papers of interest to Ships and Offshore Structures will thus be broad-ranging, and will include contributions concerned with principles, theoretical/numerical modelling, model/prototype testing, applications, case studies and operational records, which may take advantage of computer-aided methodologies, and information and digital technologies. Whilst existing journals deal with technologies as related to specific topics, Ships and Offshore Structures provides a systematic approach to individual technologies, to more efficiently and accurately characterize the functioning of entire systems. The Journal is intended to bridge the gap between theoretical developments and practical applications for the benefit of academic researchers and practising engineers, as well as those working in related governmental, public policy and regulatory bodies.