Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

Earthquake forecasting and prediction have long and in some cases sordid histories but recent work has rekindled interest based on advances in early warning, hazard assessment for induced seismicity and successful prediction of laboratory earthquakes. In the lab, frictional stick-slip events provide...

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Veröffentlicht in:	Earth and planetary science letters 2022-11, Vol.598 (C), p.117825, Article 117825
Hauptverfasser:	Laurenti, Laura, Tinti, Elisa, Galasso, Fabio, Franco, Luca, Marone, Chris
Format:	Artikel
Sprache:	eng
Schlagworte:	auto-regressive forecasting deep learning GEOSCIENCES laboratory earthquakes LSTM TCN Transformer
Online-Zugang:	Volltext
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