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A data-driven approach to earthquake early warning:Multicomponent site-spectra prediction using deep neural networks

Ahmed A.Torky Susumu Ohno

Artificial Intelligence in Geosciences2026，Vol.7Issue(1)：P.209-247,39.

Artificial Intelligence in Geosciences2026，Vol.7Issue(1)：P.209-247,39.DOI:10.1016/j.aiig.2026.100195

A data-driven approach to earthquake early warning:Multicomponent site-spectra prediction using deep neural networks

Ahmed A.Torky ¹Susumu Ohno²

作者信息

1. Faculty of Engineering,The British University in Egypt,Egypt
2. International Research Institute of Disaster Science,Tohoku University,Japan
折叠

摘要

关键词

Deep learning/Convolutional neural network/Long short-term memory network/Ground motion prediction/Response spectrum/Earthquake early warning

分类

天文与地球科学

引用本文复制引用

Ahmed A.Torky,Susumu Ohno..A data-driven approach to earthquake early warning:Multicomponent site-spectra prediction using deep neural networks[J].Artificial Intelligence in Geosciences,2026,7(1):P.209-247,39.

基金项目

supported by JSPS KAKENHI,Japan,Grant number 19K22002. （）

Artificial Intelligence in Geosciences

ISSN：2666-5441

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