Physics-Based Learning Models for Ship Hydrodynamics-Reference-Cited by-同舟云学术

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Physics-Based Learning Models for Ship Hydrodynamics

Published:2013-03-01 Issue:1 Volume:57 Page:1-12
ISSN:0022-4502
Container-title:Journal of Ship Research
language:en
Short-container-title:Journal of Ship Research

Author:

Weymouth Gabriel D.,Yue Dick K.P.

Publisher

The Society of Naval Architects and Marine Engineers

Subject

Applied Mathematics,Mechanical Engineering,Ocean Engineering,Numerical Analysis,Civil and Structural Engineering

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating physics-based simulations with gaussian processes for enhanced safety assessment of offshore installations;Reliability Engineering & System Safety;2024-09

2. A hybrid data-driven model of ship roll;Ocean Engineering;2024-07

3. Premonition-driven deep learning model for short-term ship violent roll motion prediction based on the hull attitude premonition mechanism;Applied Ocean Research;2024-05

4. A comparison of physics-informed data-driven modeling architectures for ship motion predictions;Ocean Engineering;2023-10

5. Application of Machine Learning for Prediction of Wave-induced Ship Motion;International Journal of Offshore and Polar Engineering;2023-06-01

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