Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL088353 |
Identifying different classes of seismic noise signals using unsupervised learning | |
Christopher W. Johnson; Yehuda Ben‐; Zion; Haoran Meng; Frank Vernon | |
2020-07-08 | |
发表期刊 | Geophysical Research Letters
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出版年 | 2020 |
英文摘要 | Pr11
†Now at Los Alamos National Laboratory |
领域 | 气候变化 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/283374 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Christopher W. Johnson,Yehuda Ben‐,Zion,et al. Identifying different classes of seismic noise signals using unsupervised learning[J]. Geophysical Research Letters,2020. |
APA | Christopher W. Johnson,Yehuda Ben‐,Zion,Haoran Meng,&Frank Vernon.(2020).Identifying different classes of seismic noise signals using unsupervised learning.Geophysical Research Letters. |
MLA | Christopher W. Johnson,et al."Identifying different classes of seismic noise signals using unsupervised learning".Geophysical Research Letters (2020). |
条目包含的文件 | 条目无相关文件。 |
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