Machine learning reveals cyclic changes in seismic source spectra in Geysers geothermal field
-
- Benjamin K. Holtzman
- Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY 10964, USA.
-
- Arthur Paté
- Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY 10964, USA.
-
- John Paisley
- Department of Electrical Engineering, Data Science Institute, Columbia University, New York, NY 10025, USA.
-
- Felix Waldhauser
- Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY 10964, USA.
-
- Douglas Repetto
- Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY 10964, USA.
書誌事項
- 公開日
- 2018-05-04
- DOI
-
- 10.1126/sciadv.aao2929
- 公開者
- American Association for the Advancement of Science (AAAS)
説明
<jats:p>Machine learning methods identify subtle differences among seismic signals, enabling new insight into earthquake physics.</jats:p>
収録刊行物
-
- Science Advances
-
Science Advances 4 (5), eaao2929-, 2018-05-04
American Association for the Advancement of Science (AAAS)
