A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby en...

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Hlavní autoři:	Yu‐Heng Chen, Chung‐Han Chan, Chieh‐Chen Chang, Kuo‐Fong Ma
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2026-06-01
Edice:	Journal of Geophysical Research: Machine Learning and Computation
Témata:	AI machine learning deep learning earthquake early warning transformer convolutional neural network
On-line přístup:	https://doi.org/10.1029/2025JH001005
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