Customization of a deep neural network using local data for seismic phase picking
Deep-learning (DL) pickers have demonstrated superior performance in seismic phase picking compared to traditional pickers. DL pickers are extremely effective in processing large amounts of seismic data. Nevertheless, they encounter challenges when handling seismograms from different tectonic enviro...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2023-12-01
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| Colección: | Frontiers in Earth Science |
| Materias: | |
| Acceso en línea: | https://www.frontiersin.org/articles/10.3389/feart.2023.1306488/full |
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