Underwater Sound Speed Field Forecasting Based on the Least Square Support Vector Machine

Underwater Sound Speed Field Forecasting Based on the Least Square Support Vector Machine

Underwater sound speed is one of the most significant factors that affects high-accuracy underwater acoustic positioning and navigation. Due to its complex temporal variation, the forecasting of the underwater sound speed field (SSF) becomes a challenging task. Taking advantage of machine learning m...

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Bibliographic Details
Main Authors: Junting Wang, Tianhe Xu, Wei Huang, Liping Zhang, Jianxu Shu, Yangfan Liu, Linyang Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Journal of Marine Science and Engineering
Subjects:
forecasting model
sound speed field (SSF)
least square support vector machine (LSSVM)
matching extension
empirical orthogonal function (EOF)
Online Access:https://www.mdpi.com/2077-1312/12/3/480

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