Prediction of GPS-TEC on Mw>5 Earthquake Days Using Bayesian Regularization Backpropagation Algorithm

Detection of earthquake precursor signals a few days before the earthquake day is one of the most studied subjects today. In recent years, a strong correlation is observed between earthquakes and ionospheric parameters. In this study, a Feed Forward Backpropagation Artificial Neural Network Bayesian...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 20; S. 1
Hauptverfasser:	Karatay, Secil, Gul, Saide Eda
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2023
Schlagworte:	Artificial neural networks Backpropagation Bayes methods Earthquake Earthquakes Ionosphere Neurons Precursor Prediction algorithms Total Electron Content Training
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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