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机器学习在地震预测中的应用进展
引用本文:袁爱璟,王伟君,彭菲,闫坤,寇华东.机器学习在地震预测中的应用进展[J].地震,2021,41(1):51-66.
作者姓名:袁爱璟  王伟君  彭菲  闫坤  寇华东
作者单位:中国地震局地震预测研究所,北京 100036;中国地震局地球物理研究所,北京100081
基金项目:国家自然科学基金面上项目;中国地震局地震预测研究所基本科研业务专项;新疆精河M6.6地震深入科考项目
摘    要:机器学习(Machine Learning,ML),特别是深度学习(Deep Learning,DL),在最近几年发展迅速,在数据挖掘、计算机视觉、自然语言处理、数据特征提取和预测等方面的应用中取得了令人振奋的进展.地震预测是复杂、涉及面广、不成熟而且充满争议的科学问题;其发展受到尚不清楚的地震机理和孕震结构、不完备的...

关 键 词:地震预测  地震前兆  机器学习  深度学习
收稿时间:2020-10-28
修稿时间:2020-12-15

Recent Progress of Earthquake Prediction with Machine Learning
YUAN Ai-jing,WANG Wei-jun,PENG Fei,YAN Kun,KOU Hua-dong.Recent Progress of Earthquake Prediction with Machine Learning[J].Earthquake,2021,41(1):51-66.
Authors:YUAN Ai-jing  WANG Wei-jun  PENG Fei  YAN Kun  KOU Hua-dong
Institution:1. Key Laboratory of Earthquake Prediction, Institute of Earthquake Forecasting, CEA, Beijing 100036, China;
2. Institute of Geophysics, CEA, Beijing 100081, China.
Abstract:Machine learning(ML),especially deep learning(DL),has developed rapidly in recent years,which has made exciting progress in many applications such as data mining,computer vision,natural language processing,data feature extraction and prediction.Earthquake prediction is a complex,wide-ranging,immature,and controversial scientific issue.Its development is limited by unclear earthquake mechanisms and seismogenic structures,incomplete observation data,and unclear earthquake phenomena.However,machine learning may improve the mining and discovery of complex seismic data and promote the development of earthquake prediction science.This article reviews the application of machine learning in earthquake prediction,including the prediction of big earthquakes,big aftershocks and rock experimental fractures,finally looks forward to the research trends of machine learning in earthquake prediction.
Keywords:Earthquake prediction  Earthquake precursor  Machine learning  Deep learning
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