Machine learning and earthquake forecasting—next steps

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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Gregory C. Beroza, Margarita Segou, S. Mostafa Mousavi
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Q
Accès en ligne:https://doaj.org/article/60dc86c11f92451d91a938138bf66429
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
id oai:doaj.org-article:60dc86c11f92451d91a938138bf66429
record_format dspace
spelling oai:doaj.org-article:60dc86c11f92451d91a938138bf664292021-12-02T14:53:37ZMachine learning and earthquake forecasting—next steps10.1038/s41467-021-24952-62041-1723https://doaj.org/article/60dc86c11f92451d91a938138bf664292021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24952-6https://doaj.org/toc/2041-1723A 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.Gregory C. BerozaMargarita SegouS. Mostafa MousaviNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-3 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Gregory C. Beroza
Margarita Segou
S. Mostafa Mousavi
Machine learning and earthquake forecasting—next steps
description 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.
format article
author Gregory C. Beroza
Margarita Segou
S. Mostafa Mousavi
author_facet Gregory C. Beroza
Margarita Segou
S. Mostafa Mousavi
author_sort Gregory C. Beroza
title Machine learning and earthquake forecasting—next steps
title_short Machine learning and earthquake forecasting—next steps
title_full Machine learning and earthquake forecasting—next steps
title_fullStr Machine learning and earthquake forecasting—next steps
title_full_unstemmed Machine learning and earthquake forecasting—next steps
title_sort machine learning and earthquake forecasting—next steps
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/60dc86c11f92451d91a938138bf66429
work_keys_str_mv AT gregorycberoza machinelearningandearthquakeforecastingnextsteps
AT margaritasegou machinelearningandearthquakeforecastingnextsteps
AT smostafamousavi machinelearningandearthquakeforecastingnextsteps
_version_ 1718389387550523392