Chinese Journal of Ship Research, Volume. 19, Issue 6, 64(2024)

Hierarchical space reduction method based on self-organizing maps and K-means clustering for hull form optimization

Qun YU1...2, Peng LI3, Qiang ZHENG1,2, Baiwei FENG1,2, Chunliang QIU4 and Dalian ZENG4 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of High Performance Ship Technology of Ministry of Education, Wuhan University of Technology, Wuhan 430063, China
  • 2School of Shipbuilding, Marine Engineering, Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China
  • 3China Ship Development and Design Center, Wuhan 430064, China
  • 4Guangxi CSSC Beibu Gulf Shipbuilding and Marine Engineering Design Co., Ltd., Nanning 530028, China
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    References(18)

    [19] [19] PARASHAR S, PEDIRODA V, POLONI C. Self ganizing maps (SOM) f design ion in robust multiobjective design of aerofoil[C]Proceedings of the 46th AIAA Aerospace Sciences Meeting Exhibit. Reno: AIAA, 2008: 914.

    [24] [24] MACQUEEN J. Some methods f classification analysis of multivariate observations[C]Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics Probability. [s.n.]:[s.n.],1965: 281−297.

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    Qun YU, Peng LI, Qiang ZHENG, Baiwei FENG, Chunliang QIU, Dalian ZENG. Hierarchical space reduction method based on self-organizing maps and K-means clustering for hull form optimization[J]. Chinese Journal of Ship Research, 2024, 19(6): 64

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    Paper Information

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

    Received: Jul. 4, 2024

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.04050

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