An estimation method of sound speed profile based on grouped dilated convolution informer model

An estimation method of sound speed profile based on grouped dilated convolution informer model

IntroductionThe accurate determination of the ocean sound speed profile (SSP) is essential for oceanographic research and marine engineering. Traditional methods for acquiring SSP data are often time-consuming and costly. Machine learning techniques provide a more efficient alternative for SSP inver...

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Bibliographic Details
Main Authors: Siyuan Qin, Yi Zhang, Zhou Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Marine Science
Subjects:
sound speed profile
inversion
grouped dilated convolution
informer model
empirical orthogonal decomposition
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2025.1484098/full
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