SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture
An artificial neural network, SeisDetNet, has been developed for distinguishing seismic events from seismic noise based on waveform records. The international STEAD database, which contains minute-long records of local earthquakes and seismic noise, was used as the data source for training, validati...
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| Format: | Article |
| Language: | Russian |
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Institute of Volcanology and Seismology FEB RAS
2024-12-01
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| Series: | Вестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле |
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| Online Access: | http://www.kscnet.ru/journal/kraesc/article/view/824 |
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| _version_ | 1850035317013217280 |
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| author | S.A. Imashev A.V. Aladev |
| author_facet | S.A. Imashev A.V. Aladev |
| author_sort | S.A. Imashev |
| collection | DOAJ |
| description | An artificial neural network, SeisDetNet, has been developed for distinguishing seismic events from seismic noise based on waveform records. The international STEAD database, which contains minute-long records of local earthquakes and seismic noise, was used as the data source for training, validation, and testing. Specifically, we selected waveforms from 27 seismic stations located in Kyrgyzstan and surrounding areas from the KRNET, KNET, KZ, G, and TJ networks, present in the STEAD database. The model architecture is a combination of a convolutional network, designed to extract key features for class separation, and a fully connected network for the task of classifying the input record as either a seismic event or seismic noise. Evaluating the model on the test set showed good results, with the following binary classification metrics: accuracy of 0.983, precision of 0.989, recall of 0.982, and F1-score of 0.985. |
| format | Article |
| id | doaj-art-5e9cb483f8a1456ea52717b9dd3b6e21 |
| institution | DOAJ |
| issn | 1816-5524 1816-5532 |
| language | Russian |
| publishDate | 2024-12-01 |
| publisher | Institute of Volcanology and Seismology FEB RAS |
| record_format | Article |
| series | Вестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле |
| spelling | doaj-art-5e9cb483f8a1456ea52717b9dd3b6e212025-08-20T02:57:32ZrusInstitute of Volcanology and Seismology FEB RASВестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле1816-55241816-55322024-12-01644597010.31431/1816-5524-2024-4-64-59-701106SeisDetNet: Artificial neural network for seismic event detection. Part 1: ArchitectureS.A. Imashev0A.V. Aladev1Research Station of the Russian Academy of Sciences in Bishkek, Bishkek, Kyrgyz RepublicResearch Station of the Russian Academy of Sciences in Bishkek, Bishkek, Kyrgyz RepublicAn artificial neural network, SeisDetNet, has been developed for distinguishing seismic events from seismic noise based on waveform records. The international STEAD database, which contains minute-long records of local earthquakes and seismic noise, was used as the data source for training, validation, and testing. Specifically, we selected waveforms from 27 seismic stations located in Kyrgyzstan and surrounding areas from the KRNET, KNET, KZ, G, and TJ networks, present in the STEAD database. The model architecture is a combination of a convolutional network, designed to extract key features for class separation, and a fully connected network for the task of classifying the input record as either a seismic event or seismic noise. Evaluating the model on the test set showed good results, with the following binary classification metrics: accuracy of 0.983, precision of 0.989, recall of 0.982, and F1-score of 0.985.http://www.kscnet.ru/journal/kraesc/article/view/824seismic eventneural networkdetectionbinary classification |
| spellingShingle | S.A. Imashev A.V. Aladev SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture Вестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле seismic event neural network detection binary classification |
| title | SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture |
| title_full | SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture |
| title_fullStr | SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture |
| title_full_unstemmed | SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture |
| title_short | SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture |
| title_sort | seisdetnet artificial neural network for seismic event detection part 1 architecture |
| topic | seismic event neural network detection binary classification |
| url | http://www.kscnet.ru/journal/kraesc/article/view/824 |
| work_keys_str_mv | AT saimashev seisdetnetartificialneuralnetworkforseismiceventdetectionpart1architecture AT avaladev seisdetnetartificialneuralnetworkforseismiceventdetectionpart1architecture |