Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1126/science.aau0323 |
Machine learning for data-driven discovery in solid Earth geoscience | |
Bergen, Karianne J.1,2; Johnson, Paul A.3; de Hoop, Maarten V.4; Beroza, Gregory C.5 | |
2019-03-22 | |
发表期刊 | SCIENCE |
ISSN | 0036-8075 |
EISSN | 1095-9203 |
出版年 | 2019 |
卷号 | 363期号:6433页码:1299-+ |
文章类型 | Review |
语种 | 英语 |
国家 | USA |
英文摘要 | Understanding the behavior of Earth through the diverse fields of the solid Earth geosciences is an increasingly important task. It is made challenging by the complex, interacting, and multiscale processes needed to understand Earth's behavior and by the inaccessibility of nearly all of Earth's subsurface to direct observation. Substantial increases in data availability and in the increasingly realistic character of computer simulations hold promise for accelerating progress, but developing a deeper understanding based on these capabilities is itself challenging. Machine learning will play a key role in this effort. We review the state of the field and make recommendations for how progress might be broadened and accelerated. |
领域 | 地球科学 ; 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000462016400041 |
WOS关键词 | SEISMIC EVENT CLASSIFICATION ; DEEP NEURAL-NETWORKS ; HIDDEN MARKOV-MODELS ; REMOTE-SENSING DATA ; AUTOMATIC DISCRIMINATION ; PATTERN-RECOGNITION ; AIRBORNE GEOPHYSICS ; INVERSE PROBLEMS ; FACIES ANALYSIS ; RANDOM FORESTS |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
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/201024 |
专题 | 地球科学 资源环境科学 气候变化 |
作者单位 | 1.Stanford Univ, Inst Computat & Math Engn, Stanford, CA 94305 USA; 2.Harvard Univ, Dept Earth & Planetary Sci, 20 Oxford St, Cambridge, MA 02138 USA; 3.Los Alamos Natl Lab, Geophys Grp, Los Alamos, NM 87545 USA; 4.Rice Univ, Dept Computat & Appl Math, Houston, TX 77005 USA; 5.Stanford Univ, Dept Geophys, Stanford, CA 94305 USA |
推荐引用方式 GB/T 7714 | Bergen, Karianne J.,Johnson, Paul A.,de Hoop, Maarten V.,et al. Machine learning for data-driven discovery in solid Earth geoscience[J]. SCIENCE,2019,363(6433):1299-+. |
APA | Bergen, Karianne J.,Johnson, Paul A.,de Hoop, Maarten V.,&Beroza, Gregory C..(2019).Machine learning for data-driven discovery in solid Earth geoscience.SCIENCE,363(6433),1299-+. |
MLA | Bergen, Karianne J.,et al."Machine learning for data-driven discovery in solid Earth geoscience".SCIENCE 363.6433(2019):1299-+. |
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