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Application of coupled IGWO-GMDH model in the prediction of significant wave height
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Zhonglian JIANG1, 2, Naiwen MEI3, Jianqun GUO1, 2, 3, Bingchang WENG4, Xiao CHU1, 2, 3
Navigation of China | 2025, 48(2) : 25 - 31
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Navigation of China | 2025, 48(2): 25-31
• Marine Traffic Safety •
Application of coupled IGWO-GMDH model in the prediction of significant wave height
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Zhonglian JIANG1, 2, Naiwen MEI3, Jianqun GUO1, 2, 3, Bingchang WENG4, Xiao CHU1, 2, 3
Affiliations
  • 1.State Key Laboratory of Maritime Technology and Safety, Wuhan 430063, China
  • 2.National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China
  • 3.School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, 430063, China
  • 4.Changjiang Waterway Institute of Planning and Design, Wuhan 430040, China
Published: 2025-06-25 doi: 10.3969/j.issn.1000-4653.2025.02.004
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Ocean waves are characterised as random and non-linear. Predicting significant wave height is critical for ensuring the safety of ship navigation and route planning. In the present study, the Grey Wolf optimiser was improved by optimising the search mechanism and coupled it with the Grouping Method Data Handling model to construct an effective significant wave height prediction model. This novel prediction model was validated using a significant wave height dataset. The weights of the different model variables were also explored. The results show that the IGWO-GMDH model is more accurate. The mean square error decreased by 2.65%, and the root mean square error decreased by approximately 1.35%. The standard deviation was reduced by 2.14%. Additionally, the weights of the wave characteristic parameters and the wind field data are relatively high; combining these would significantly impact the model's accuracy. The IGWO-GMDH model will provide more robust predictions of significant wave height and support research into ship navigation safety and route planning and optimisation.

significant wave height  /  grouping method of data processing (GMDH) model  /  improved grey wolf optimiser  /  optimisation of search mechanism
Zhonglian JIANG, Naiwen MEI, Jianqun GUO, Bingchang WENG, Xiao CHU. Application of coupled IGWO-GMDH model in the prediction of significant wave height[J]. Navigation of China, 2025 , 48 (2) : 25 -31 . DOI: 10.3969/j.issn.1000-4653.2025.02.004
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Year 2025 volume 48 Issue 2
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Article Info
doi: 10.3969/j.issn.1000-4653.2025.02.004
  • Receive Date：2024-01-30
  • Online Date：2026-03-17
  • Published：2025-06-25
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  • Received：2024-01-30
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Affiliations
    1.State Key Laboratory of Maritime Technology and Safety, Wuhan 430063, China
    2.National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China
    3.School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, 430063, China
    4.Changjiang Waterway Institute of Planning and Design, Wuhan 430040, China
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表12种不同金属材料的力学参数
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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