Neural network model field of the first arrival of seismic waves in Ukraine
Application of DSS data of seismic studies in Ukraine to build models of neural network for time arrival field of seismic signals that allow to construct hodographs of longitudinal waves along arbitrarily oriented sections in regions that do not have seismic observations or to adjust velocity sectio...
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| Date: | 2016 |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | Russian |
| Published: |
S. Subbotin Institute of Geophysics of the NAS of Ukraine
2016
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| Subjects: | |
| Online Access: | https://journals.uran.ua/geofizicheskiy/article/view/107726 |
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| Journal Title: | Geofizicheskiy Zhurnal |
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Geofizicheskiy Zhurnal| _version_ | 1856543096055005184 |
|---|---|
| author | Lazarenko, M. A. Gerasimenko, O. A. Ostapchuk, N. N. |
| author_facet | Lazarenko, M. A. Gerasimenko, O. A. Ostapchuk, N. N. |
| author_sort | Lazarenko, M. A. |
| baseUrl_str | |
| collection | OJS |
| datestamp_date | 2020-10-07T11:35:07Z |
| description | Application of DSS data of seismic studies in Ukraine to build models of neural network for time arrival field of seismic signals that allow to construct hodographs of longitudinal waves along arbitrarily oriented sections in regions that do not have seismic observations or to adjust velocity section applying one of the methods of hodograph inversion has been proposed. Comparison of the simulated time of longitudinal wave arrival with those ones that were registered in Ukraine has been made. |
| first_indexed | 2025-07-17T11:04:13Z |
| format | Article |
| id | journalsuranua-geofizicheskiy-article-107726 |
| institution | Geofizicheskiy Zhurnal |
| language | Russian |
| last_indexed | 2025-07-17T11:04:13Z |
| publishDate | 2016 |
| publisher | S. Subbotin Institute of Geophysics of the NAS of Ukraine |
| record_format | ojs |
| spelling | journalsuranua-geofizicheskiy-article-1077262020-10-07T11:35:07Z Neural network model field of the first arrival of seismic waves in Ukraine Lazarenko, M. A. Gerasimenko, O. A. Ostapchuk, N. N. neural network simulation time of longitudinal wave arrival seismic research DSS the method of reverse transmission error loss function hodograph Application of DSS data of seismic studies in Ukraine to build models of neural network for time arrival field of seismic signals that allow to construct hodographs of longitudinal waves along arbitrarily oriented sections in regions that do not have seismic observations or to adjust velocity section applying one of the methods of hodograph inversion has been proposed. Comparison of the simulated time of longitudinal wave arrival with those ones that were registered in Ukraine has been made. S. Subbotin Institute of Geophysics of the NAS of Ukraine 2016-02-01 Article Article application/pdf https://journals.uran.ua/geofizicheskiy/article/view/107726 10.24028/gzh.0203-3100.v38i1.2016.107726 Geofizicheskiy Zhurnal; Vol. 38 No. 1 (2016); 97-103 Геофизический журнал; Том 38 № 1 (2016); 97-103 Геофізичний журнал; Том 38 № 1 (2016); 97-103 2524-1052 0203-3100 ru https://journals.uran.ua/geofizicheskiy/article/view/107726/102694 Copyright (c) 2020 Geofizicheskiy Zhurnal https://creativecommons.org/licenses/by/4.0 |
| spellingShingle | neural network simulation time of longitudinal wave arrival seismic research DSS the method of reverse transmission error loss function hodograph Lazarenko, M. A. Gerasimenko, O. A. Ostapchuk, N. N. Neural network model field of the first arrival of seismic waves in Ukraine |
| title | Neural network model field of the first arrival of seismic waves in Ukraine |
| title_full | Neural network model field of the first arrival of seismic waves in Ukraine |
| title_fullStr | Neural network model field of the first arrival of seismic waves in Ukraine |
| title_full_unstemmed | Neural network model field of the first arrival of seismic waves in Ukraine |
| title_short | Neural network model field of the first arrival of seismic waves in Ukraine |
| title_sort | neural network model field of the first arrival of seismic waves in ukraine |
| topic | neural network simulation time of longitudinal wave arrival seismic research DSS the method of reverse transmission error loss function hodograph |
| topic_facet | neural network simulation time of longitudinal wave arrival seismic research DSS the method of reverse transmission error loss function hodograph |
| url | https://journals.uran.ua/geofizicheskiy/article/view/107726 |
| work_keys_str_mv | AT lazarenkoma neuralnetworkmodelfieldofthefirstarrivalofseismicwavesinukraine AT gerasimenkooa neuralnetworkmodelfieldofthefirstarrivalofseismicwavesinukraine AT ostapchuknn neuralnetworkmodelfieldofthefirstarrivalofseismicwavesinukraine |