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...

Full description

Saved in:
Bibliographic Details
Date:2010
Main Authors: Lazarenko, M. A., Gerasimenko, O. A.
Format: Article
Language:Russian
Published: S. Subbotin Institute of Geophysics of the NAS of Ukraine 2010
Online Access:https://journals.uran.ua/geofizicheskiy/article/view/117516
Tags: Add Tag
No Tags, Be the first to tag this record!
Journal Title:Geofizicheskiy Zhurnal

Institution

Geofizicheskiy Zhurnal
_version_ 1856543344127115264
author Lazarenko, M. A.
Gerasimenko, O. A.
author_facet Lazarenko, M. A.
Gerasimenko, O. A.
author_sort Lazarenko, M. A.
baseUrl_str
collection OJS
datestamp_date 2020-10-07T10:59:36Z
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.
first_indexed 2025-07-17T11:08:56Z
format Article
id journalsuranua-geofizicheskiy-article-117516
institution Geofizicheskiy Zhurnal
language Russian
last_indexed 2025-07-17T11:08:56Z
publishDate 2010
publisher S. Subbotin Institute of Geophysics of the NAS of Ukraine
record_format ojs
spelling 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. S. 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 ru https://journals.uran.ua/geofizicheskiy/article/view/117516/111560 Copyright (c) 2020 Geofizicheskiy Zhurnal https://creativecommons.org/licenses/by/4.0
spellingShingle Lazarenko, M. A.
Gerasimenko, O. A.
Neural network simulation of the travel time curves of seismic waves
title 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_short Neural network simulation of the travel time curves of seismic waves
title_sort neural network simulation of the travel time curves of seismic waves
url https://journals.uran.ua/geofizicheskiy/article/view/117516
work_keys_str_mv AT lazarenkoma neuralnetworksimulationofthetraveltimecurvesofseismicwaves
AT gerasimenkooa neuralnetworksimulationofthetraveltimecurvesofseismicwaves