A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning

A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning

As sound speed is a fundamental parameter of ocean acoustic characteristics, its prediction is a central focus of underwater acoustics research. Traditional numerical and statistical forecasting methods often exhibit suboptimal performance under complex conditions, whereas deep learning approaches d...

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Bibliographic Details
Main Authors: Yu Liu, Benjun Ma, Zhiliang Qin, Cheng Wang, Chao Guo, Siyu Yang, Jixiang Zhao, Yimeng Cai, Mingzhe Li
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Journal of Marine Science and Engineering
Subjects:
sound speed prediction
deep learning
long short-term memory neural networks
spatiotemporal attention mechanisms
Online Access:https://www.mdpi.com/2077-1312/12/11/1943
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