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机器学习与地震预测：下一步。

Machine learning and earthquake forecasting-next steps.

机构信息

Department of Geophysics, Stanford University, Stanford, CA, USA.

British Geological Survey, Research Avenue South, Lyell Centre, Edinburgh, UK.

出版信息

Nat Commun. 2021 Aug 6;12(1):4761. doi: 10.1038/s41467-021-24952-6.

DOI:10.1038/s41467-021-24952-6
PMID:34362887
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8346575/
Abstract

A new generation of earthquake catalogs developed through supervised machine-learning illuminates earthquake activity with unprecedented detail. Application of unsupervised machine learning to analyze the more complete expression of seismicity in these catalogs may be the fastest route to improving earthquake forecasting.

摘要

新一代通过监督机器学习开发的地震目录以空前的细节揭示了地震活动。将无监督机器学习应用于分析这些目录中更完整的地震活动表达可能是提高地震预测的最快途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7094/8346575/9c8abfc23f88/41467_2021_24952_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7094/8346575/9c8abfc23f88/41467_2021_24952_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7094/8346575/9c8abfc23f88/41467_2021_24952_Fig1_HTML.jpg

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