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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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Bibliographic Details
Date:2016
Main Authors: Lazarenko, M. A., Gerasimenko, O. A., Ostapchuk, N. N.
Format: Article
Language:Russian
Published: S. Subbotin Institute of Geophysics of the NAS of Ukraine 2016
Subjects:
neural network simulation
time of longitudinal wave arrival
seismic research
DSS
the method of reverse transmission error
loss function
hodograph
Online Access:https://journals.uran.ua/geofizicheskiy/article/view/107726
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Journal Title:Geofizicheskiy Zhurnal

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Geofizicheskiy Zhurnal
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Summary: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.

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