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: |
S. Subbotin Institute of Geophysics of the NAS of Ukraine
2017
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| Subjects: | |
| Online Access: | https://journals.uran.ua/geofizicheskiy/article/view/107503 |
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| Journal Title: | Geofizicheskiy Zhurnal |