Deep learning-based modeling and prediction of GNSS time series: A comparative analysis of adaptive optimization algorithms

•For the first time in the literature, adaptive learning rate optimization methods are compared on GNSS time series data.•Deep learning methods are proposed for the prediction of GNSS time series data.•10 different deep learning methods and 4 different optimization algorithms were studied.•The best...

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Bibliographic Details

Published in:	Advances in space research Vol. 76; no. 4; pp. 2086 - 2103
Main Authors:	Tabar, Mehmet Emin, Sisman, Yasemin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.08.2025
Subjects:	Adaptive learning optimization Deep learning GNSS Time series Deep learning Adaptive learning optimization GNSS Time series
ISSN:	0273-1177
Online Access:	Get full text
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