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[1]JIA Luozhao,MENG Lingyuan,YAN Rui.Advancements of Deep Learning in Seismic Monitoring and Prediction[J].Journal of Seismological Research,2024,47(03):336-349.[doi:10.20015/j.cnki.ISSN1000-0666.2024.0037 ]

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Advancements of Deep Learning in Seismic Monitoring and Prediction

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: 47 Number of periods: 2024 03 Page number: 336-349 Column: 人工智能 Public date: 2024-05-01

Title:: Advancements of Deep Learning in Seismic Monitoring and Prediction

Author(s):: JIA Luozhao¹; MENG Lingyuan²; YAN Rui¹; (1.Henan Earthquake Agency,Zhengzhou 450018,Henan,China;2.China Earthquake Networks Center,Beijing 100045,China)

Keywords:: deep learning; seismic monitoring and prediction; earthquake detection; earthquake location; seismic forecasting

CLC:: P315.72

DOI:: 10.20015/j.cnki.ISSN1000-0666.2024.0037

Abstract:: This article provides an overview of deep learning methods and their application in earthquake monitoring and prediction.It introduces mainstream methods such as feedforward neural networks,convolutional neural networks,recurrent neural networks,transformer networks,autoencoders,generative adversarial networks,and deep reinforcement learning networks.The article summarizes their application in phase picking,phase correlation,event detection,earthquake location,signal and event classification,and earthquake prediction.It also discusses the progress,advantages,challenges,and future directions of deep learning in earthquake monitoring and prediction.This summary serves as a valuable reference for applying deep learning in earthquake monitoring and prediction.

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Last Update: 2024-05-01