The Method of the Minimum Area of Alarm for Earthquake Magnitude Prediction
An approach for the systematic forecasting of earthquake magnitudes is considered. To solve this problem, we use the minimum area of alarm method. Testing the approach for Kamchatka and the Aegean Region shows a satisfactory quality of the forecast of earthquakes and their magnitudes.
Published in: | Frontiers in Earth Science |
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Language: | English |
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Frontiers Media S.A.
2020
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Online Access: | https://doi.org/10.3389/feart.2020.585317 https://doaj.org/article/9073f81bf80a4bddba374b98a66f14a5 |
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ftdoajarticles:oai:doaj.org/article:9073f81bf80a4bddba374b98a66f14a5 2023-05-15T16:58:50+02:00 The Method of the Minimum Area of Alarm for Earthquake Magnitude Prediction Valeri Gitis Alexander Derendyaev 2020-11-01T00:00:00Z https://doi.org/10.3389/feart.2020.585317 https://doaj.org/article/9073f81bf80a4bddba374b98a66f14a5 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/feart.2020.585317/full https://doaj.org/toc/2296-6463 2296-6463 doi:10.3389/feart.2020.585317 https://doaj.org/article/9073f81bf80a4bddba374b98a66f14a5 Frontiers in Earth Science, Vol 11 (2020) machine learning one class classification earthquake forecasting method of the minimum area of alarm earthquake magnitude prediction Science Q article 2020 ftdoajarticles https://doi.org/10.3389/feart.2020.585317 2022-12-31T14:02:08Z An approach for the systematic forecasting of earthquake magnitudes is considered. To solve this problem, we use the minimum area of alarm method. Testing the approach for Kamchatka and the Aegean Region shows a satisfactory quality of the forecast of earthquakes and their magnitudes. Article in Journal/Newspaper Kamchatka Directory of Open Access Journals: DOAJ Articles Frontiers in Earth Science 11 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
machine learning one class classification earthquake forecasting method of the minimum area of alarm earthquake magnitude prediction Science Q |
spellingShingle |
machine learning one class classification earthquake forecasting method of the minimum area of alarm earthquake magnitude prediction Science Q Valeri Gitis Alexander Derendyaev The Method of the Minimum Area of Alarm for Earthquake Magnitude Prediction |
topic_facet |
machine learning one class classification earthquake forecasting method of the minimum area of alarm earthquake magnitude prediction Science Q |
description |
An approach for the systematic forecasting of earthquake magnitudes is considered. To solve this problem, we use the minimum area of alarm method. Testing the approach for Kamchatka and the Aegean Region shows a satisfactory quality of the forecast of earthquakes and their magnitudes. |
format |
Article in Journal/Newspaper |
author |
Valeri Gitis Alexander Derendyaev |
author_facet |
Valeri Gitis Alexander Derendyaev |
author_sort |
Valeri Gitis |
title |
The Method of the Minimum Area of Alarm for Earthquake Magnitude Prediction |
title_short |
The Method of the Minimum Area of Alarm for Earthquake Magnitude Prediction |
title_full |
The Method of the Minimum Area of Alarm for Earthquake Magnitude Prediction |
title_fullStr |
The Method of the Minimum Area of Alarm for Earthquake Magnitude Prediction |
title_full_unstemmed |
The Method of the Minimum Area of Alarm for Earthquake Magnitude Prediction |
title_sort |
method of the minimum area of alarm for earthquake magnitude prediction |
publisher |
Frontiers Media S.A. |
publishDate |
2020 |
url |
https://doi.org/10.3389/feart.2020.585317 https://doaj.org/article/9073f81bf80a4bddba374b98a66f14a5 |
genre |
Kamchatka |
genre_facet |
Kamchatka |
op_source |
Frontiers in Earth Science, Vol 11 (2020) |
op_relation |
https://www.frontiersin.org/articles/10.3389/feart.2020.585317/full https://doaj.org/toc/2296-6463 2296-6463 doi:10.3389/feart.2020.585317 https://doaj.org/article/9073f81bf80a4bddba374b98a66f14a5 |
op_doi |
https://doi.org/10.3389/feart.2020.585317 |
container_title |
Frontiers in Earth Science |
container_volume |
11 |
_version_ |
1766050945736638464 |