| Scopus记录号: | 2-s2.0-85058852210
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| 论文题名: | Data mining for seismic slip |
| 作者: | Creager K.C.
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| 刊名: | Nature Geoscience
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| ISSN: | 17520894
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| 出版年: | 2019
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| 卷: | 12, 期:1 | | 起始页码: | 5
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| 结束页码: | 6
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| 语种: | 英语
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| 英文摘要: | Seismic data during the time interval between larger earthquakes could contain information about fault displacements and potential for future failure, suggest analyses of data from laboratory and real-world slow-slip earthquakes using machine-learning techniques. © 2018, Springer Nature Limited. |
| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/122642
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| Appears in Collections: | 气候变化事实与影响
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作者单位: | Department of Earth and Space Sciences, University of Washington, Seattle, WA, United States
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| Recommended Citation: | |
Creager K.C.. Data mining for seismic slip[J]. Nature Geoscience,2019-01-01,12(1)
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