Neural network simulation of the travel time curves of seismic waves
The implementation of artificial neural networks for travel-time model of P- and S-phases of seismic waves arrangement is proposed. The principles of multilayer, fullconnected, feedforward, controlled, and backpropagated neuron network functioning and approach to net topology choice and extrapolatio...
Збережено в:
| Дата: | 2010 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | rus |
| Опубліковано: |
Subbotin Institute of Geophysics of the NAS of Ukraine
2010
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| Онлайн доступ: | https://journals.uran.ua/geofizicheskiy/article/view/117516 |
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| Назва журналу: | Geofizicheskiy Zhurnal |
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Geofizicheskiy Zhurnal| id |
journalsuranua-geofizicheskiy-article-117516 |
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journalsuranua-geofizicheskiy-article-1175162020-10-07T10:59:36Z Neural network simulation of the travel time curves of seismic waves Lazarenko, M. A. Gerasimenko, O. A. The implementation of artificial neural networks for travel-time model of P- and S-phases of seismic waves arrangement is proposed. The principles of multilayer, fullconnected, feedforward, controlled, and backpropagated neuron network functioning and approach to net topology choice and extrapolation error assessment are considered. The 3D travel-time relationships for various scenario of seismic process using the travel-time inversion based on Ukrainian seismic stations records are considered. The examples of Herglotz - Wiehert inversion for single stations as well as for arbitrary source and station coordinates in circum-Black Sea region are presented. Subbotin Institute of Geophysics of the NAS of Ukraine 2010-10-01 Article Article application/pdf https://journals.uran.ua/geofizicheskiy/article/view/117516 10.24028/gzh.0203-3100.v32i5.2010.117516 Geofizicheskiy Zhurnal; Vol. 32 No. 5 (2010); 126-141 Геофизический журнал; Том 32 № 5 (2010); 126-141 Геофізичний журнал; Том 32 № 5 (2010); 126-141 2524-1052 0203-3100 rus https://journals.uran.ua/geofizicheskiy/article/view/117516/111560 Copyright (c) 2020 Geofizicheskiy Zhurnal https://creativecommons.org/licenses/by/4.0 |
| institution |
Geofizicheskiy Zhurnal |
| baseUrl_str |
|
| datestamp_date |
2020-10-07T10:59:36Z |
| collection |
OJS |
| language |
rus |
| format |
Article |
| author |
Lazarenko, M. A. Gerasimenko, O. A. |
| spellingShingle |
Lazarenko, M. A. Gerasimenko, O. A. Neural network simulation of the travel time curves of seismic waves |
| author_facet |
Lazarenko, M. A. Gerasimenko, O. A. |
| author_sort |
Lazarenko, M. A. |
| title |
Neural network simulation of the travel time curves of seismic waves |
| title_short |
Neural network simulation of the travel time curves of seismic waves |
| title_full |
Neural network simulation of the travel time curves of seismic waves |
| title_fullStr |
Neural network simulation of the travel time curves of seismic waves |
| title_full_unstemmed |
Neural network simulation of the travel time curves of seismic waves |
| title_sort |
neural network simulation of the travel time curves of seismic waves |
| description |
The implementation of artificial neural networks for travel-time model of P- and S-phases of seismic waves arrangement is proposed. The principles of multilayer, fullconnected, feedforward, controlled, and backpropagated neuron network functioning and approach to net topology choice and extrapolation error assessment are considered. The 3D travel-time relationships for various scenario of seismic process using the travel-time inversion based on Ukrainian seismic stations records are considered. The examples of Herglotz - Wiehert inversion for single stations as well as for arbitrary source and station coordinates in circum-Black Sea region are presented. |
| publisher |
Subbotin Institute of Geophysics of the NAS of Ukraine |
| publishDate |
2010 |
| url |
https://journals.uran.ua/geofizicheskiy/article/view/117516 |
| work_keys_str_mv |
AT lazarenkoma neuralnetworksimulationofthetraveltimecurvesofseismicwaves AT gerasimenkooa neuralnetworksimulationofthetraveltimecurvesofseismicwaves |
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2025-07-17T11:08:56Z |
| last_indexed |
2025-07-17T11:08:56Z |
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