Neural network simulation of the travel time curves of seismic waves

Authors

  • M. A. Lazarenko S.I. Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Ukraine
  • O. A. Gerasimenko S.I. Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Ukraine

DOI:

https://doi.org/10.24028/gzh.0203-3100.v32i5.2010.117516

Abstract

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.

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Published

2010-10-01

How to Cite

Lazarenko, M. A., & Gerasimenko, O. A. (2010). Neural network simulation of the travel time curves of seismic waves. Geofizicheskiy Zhurnal, 32(5), 126–141. https://doi.org/10.24028/gzh.0203-3100.v32i5.2010.117516

Issue

Vol. 32 No. 5 (2010)

Section

Scientific Reports

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