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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Vydané v:	Advances in space research Ročník 76; číslo 4; s. 2086 - 2103
Hlavní autori:	Tabar, Mehmet Emin, Sisman, Yasemin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.08.2025
Predmet:	Adaptive learning optimization Deep learning GNSS Time series Deep learning Adaptive learning optimization GNSS Time series
ISSN:	0273-1177
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