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Research on Multi-factor Coastal Waterway Depth Prediction and Application Based on Attention-enhanced LSTM Model
SUSTAINABLE DEVELOPMENT AND UTILIZATION OF MARINE RESOURCES | 更新时间:2026-01-29
    • Research on Multi-factor Coastal Waterway Depth Prediction and Application Based on Attention-enhanced LSTM Model

    • In the field of waterway transportation, experts have proposed an LSTM multi factor coastal waterway depth prediction model based on attention mechanism, providing technical support for improving the intelligence and digital management level of waterway transportation.
    • Advanced Engineering Sciences   Vol. 58, Issue 1, Pages: 266-275(2026)
    • DOI:10.12454/j.jsuese.202500084    

      CLC: U615.1;U445.4
    • Received:14 February 2025

      Revised:2025-06-11

      Published:20 January 2026

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  • Ling Ganzhan,Han Yu,Xie Weiwei,et al.Research on multi-factor coastal waterway depth prediction and application based on attention-enhanced LSTM model[J].Advanced Engineering Sciences,2026,58(1):266‒275. DOI: 10.12454/j.jsuese.202500084.

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