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

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

A. Shaeffer, C. Yang

Abstract

Back to Top

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

Share this document

Keywords

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

claim authorship

Are you one of the authors of this document?