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Machine learning reveals cyclic changes in seismic source spectra in Geysers geothermal field
The earthquake rupture process comprises complex interactions of stress, fracture, and frictional properties. New machine learning methods demonstrate great potential to reveal patterns in time-dependent spectral properties of seismic signals and enable identification of changes in faulting processe...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Association for the Advancement of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966224/ https://www.ncbi.nlm.nih.gov/pubmed/29806015 http://dx.doi.org/10.1126/sciadv.aao2929 |