Chinese Journal of Ship Research, Volume. 19, Issue 6, 56(2024)

Intelligent fuzzy inference method for generating UUV hull parameters

Junbin GONG, Pengjiu WANG, Hao WANG, and Meng YANG
Author Affiliations
  • Hanjiang National Laboratory, Wuhan 430060, China
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    References(14)

    [16] [16] GILLMER T, JOHNSON B. Introduction to naval architecture[M]. Annapolis, MD, USA: Naval Institute Press, 1982.

    [17] K ALAM, T RAY, S G ANAVATTI. Design optimization of an unmanned underwater vehicle using low- and high-fidelity models. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47, 2794-2808(2015).

    [23] [23] HUANG G B, SIEW S K. Extreme learning machine: RBF wk case[C]Proceedings of the ICARCV 2004 8th Control, Automation, Robotics Vision Conference, 2004. Kunming: IEEE, 2012: 10291036.

    [24] [24] Office of the Chief of Naval Operations. The navy unmanned undersea vehicle (UUV) master plan[R]. Washington D.C: Office of the Chief of Naval Operations, 2004.

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    Junbin GONG, Pengjiu WANG, Hao WANG, Meng YANG. Intelligent fuzzy inference method for generating UUV hull parameters[J]. Chinese Journal of Ship Research, 2024, 19(6): 56

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    Paper Information

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

    Received: Jul. 14, 2023

    Accepted: Sep. 14, 2024

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.04063

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