Herasymenko O. Neural network in seismic waves travel time modeling for platform part of Ukraine and Black sea region deep structure investigation

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0412U004897

Applicant for

Specialization

  • 04.00.22 - Геофізика

13-11-2012

Specialized Academic Board

Д 26.200.01

Institute of Geophysics by S.I. Subbotin name

Essay

The implementation of neural networks for travel-time model of P and S phases of seismic waves propagation is proposed. The principles of multilayer, full connected, 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 together with Mediterranean area 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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