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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Vydané v:	IEEE geoscience and remote sensing letters Ročník 20; s. 1
Hlavní autori:	Karatay, Secil, Gul, Saide Eda
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2023
Predmet:	Artificial neural networks Backpropagation Bayes methods Earthquake Earthquakes Ionosphere Neurons Precursor Prediction algorithms Total Electron Content Training
ISSN:	1545-598X, 1558-0571
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