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Frontiers in Marine Science
(Oct 2023)
Corrigendum: A meta-deep-learning framework for spatio-temporal underwater SSP inversion
Wei Huang,
Deshi Li,
Hao Zhang,
Tianhe Xu,
Feng Yin
Affiliations
Wei Huang
School of Electronic Engineering, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China
Deshi Li
Electronic Information School, Wuhan University, Wuhan, China
Hao Zhang
School of Electronic Engineering, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China
Tianhe Xu
School of Space Science and Physics, Shandong University (Weihai), Weihai, China
Feng Yin
School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China
DOI
https://doi.org/10.3389/fmars.2023.1321121
Journal volume & issue
Vol. 10
Abstract
Read online
No abstracts available.
Keywords
sound speed profile (SSP) inversion
artificial neural networks (ANN)
few-shot learning
task-driven meta-learning (TDML)
over-fitting effect
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