Neural network models of local time curves of seismic waves
To generalize the problem of the travel time assessment the artificial neuron networks are used. This approach makes possible to build the nonlinear model of seismic wave phase propagation as a function of several arguments: source depth, magnitude, back azimuth and epicenter distance. The 3D travel...
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| Datum: | 2011 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | rus |
| Veröffentlicht: |
Subbotin Institute of Geophysics of the NAS of Ukraine
2011
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| Online Zugang: | https://journals.uran.ua/geofizicheskiy/article/view/116802 |
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| Назва журналу: | Geofizicheskiy Zhurnal |
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Geofizicheskiy Zhurnal| Zusammenfassung: | To generalize the problem of the travel time assessment the artificial neuron networks are used. This approach makes possible to build the nonlinear model of seismic wave phase propagation as a function of several arguments: source depth, magnitude, back azimuth and epicenter distance. The 3D travel time curves for three Ukrainian seismic stations are presented together with the deviation from global travel time data. |
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