Chinese Journal of Ship Research, Volume. 19, Issue 6, 74(2024)

Hull form optimization based on multi-fidelity deep neural network

Yabo WEI1...2, Yangjun WANG3, and Decheng WAN12 |Show fewer author(s)
Author Affiliations
  • 1Computational Marine Hydrodynamics Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 3College of Advanced Interdisciplinary Studies, National University of Defense Technology, Nanjing 210000, China
  • show less
    References(12)

    [3] [3] MYERS R H, MONTGOMERY D C, ERSONCOOK C M. Response Surface Methodology: Process Product Optimization Using Designed Experiments[M]. 4th ed. Hoboken: John Wiley & Sons, 2016.

    [17] [17] KINGMA D P, BA J. Adam: a method f stochastic optimization[C]Proceedings of the 3rd International Conference on Learning Representations. San Diego: [s.n.], 2015.

    Tools

    Get Citation

    Copy Citation Text

    Yabo WEI, Yangjun WANG, Decheng WAN. Hull form optimization based on multi-fidelity deep neural network[J]. Chinese Journal of Ship Research, 2024, 19(6): 74

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Theory and Method of Intelligent Design for Ship and Ocean Engineering

    Received: Jul. 12, 2024

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.04062

    Topics