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Force correction method for parametric roll prediction based on deep-learning algorithm
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AI
DOI：10.1016/j.oceaneng.2026.127435.png)
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Abstract
En 中文
• A hybrid prediction method is proposed by integrating a deep-learning model with the linear IRF method. • The proposed method accurately reproduces parametric roll responses in irregular waves. • Strong generalization is demonstrated across various wave conditions. • The approach is 4-5 times faster than weakly nonlinear IRF simulations.
Keywords:
Parametric roll
Force correction
Deep learning
Impulse response function
Ship stability
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5.5
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