Enhancing ship hydrodynamic performance via machine learning-driven CFD parametric optimization

In order to improve the efficiency of ship hydrodynamic optimization and reduce resistance, this study employed machine learning methods to predict resistance. In response to the limitations of machine learning's generalization ability on high-dimensional sparse data, an IXGB-MAML hybrid model based...

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מידע ביבליוגרפי

Principais autores:	Jie Liu, Li-fen Hu, Bao-ji Zhang, Ke-zheng Zhang, Jun-ying Bi, Qin-yue Zheng
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Taylor & Francis Group 2025-12-01
סדרה:	Engineering Applications of Computational Fluid Mechanics
נושאים:	machine learning multi-objective optimization hydrodynamic ship form CFD
גישה מקוונת:	https://www.tandfonline.com/doi/10.1080/19942060.2025.2565801
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