A Novel Approach for Hull Hydrodynamic Surrogate Models with Convolutional Neural Networks (CNNs) - View source for Shaeffer Yang 2023a - Scipedia

10th Conference on Computational Methods in Marine Engineering (Marine 2023)

A. Shaeffer, C. Yang

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== Abstract ==
<pdf>Media:Draft_Sanchez Pinedo_316508159learning_9.pdf</pdf>

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Document information

Published on 22/06/23
Submitted on 22/06/23

Volume Artificial Learning for Marine Engineering: Methods and Applications, 2023
DOI: 10.23967/marine.2023.058
Licence: CC BY-NC-SA license

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Keywords

Convolutional neural network (CNN) • Deep Reinforcement Learning • Hull Form Optimization • Hydrodynamics • Resistance • Resistance prediction • Surrogate modelling

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