Research on Multi-Factor Coastal Waterway Depth Prediction and Application Based on Attention-Enhanced LSTM Model

Research on Multi-Factor Coastal Waterway Depth Prediction and Application Based on Attention-Enhanced LSTM Model

ObjectiveAccurate prediction of water depth in coastal waterway is essential for ensuring the safety and efficiency of construction and transportation activities, particularly in environments characterized by complex and dynamic hydrological conditions. The Pinglu Canal, an inland waterway with tida...

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Bibliographic Details
Main Authors: LING Ganzhan, HAN Yu, WANG Jiawei, JIE Weiwei, TANG Ruikai, HU Jiakai, LIU Xiang, LIANG Guangyue, CAO Lu, LIANG Ming
Format: Article
Language:English
Published: Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2025-01-01
Series:工程科学与技术
Subjects:
Pinglu Canal
Waterway construction and transportation
Waterway depth prediction
attention mechanism
LSTM model
Waterway transportation decision support platform
Online Access:http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202500084
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