Neural network modeling of Herglotz—Wiechert inversion of multiparametric travel-time curves of seismic waves
Using artificial neural networks to solve a problem of plotting travel-time curves of seismic waves can create nonlinear travel-time model of P and S phases of seismic waves arrangement as a function of several arguments: source depth, magnitude, back azimuth and epicenter distance. Construction of...
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| Date: | 2017 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут геофізики ім. С.I. Субботіна НАН України
2017
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| Series: | Геофизический журнал |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/125274 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Neural network modeling of Herglotz—Wiechert inversion of multiparametric travel-time curves of seismic waves / M. Lazarenko, O. Herasymenko // Геофизический журнал. — 2017. — Т. 39, № 4. — С. 3-14. — Бібліогр.: 8 назв. — англ. |