globalchange  > 气候变化与战略
DOI: 10.1016/j.earscirev.2019.02.023
论文题名:
Deep learning and its application in geochemical mapping
作者: Zuo R.; Xiong Y.; Wang J.; Carranza E.J.M.
刊名: Earth Science Reviews
ISSN: 00128252
出版年: 2019
卷: 192
起始页码: 1
结束页码: 14
语种: 英语
中文关键词: Applied geochemistry ; Deep learning ; Geochemical mapping ; Geochemical patterns ; Machine learning
英文关键词: algorithm ; geochemistry ; machine learning ; mapping ; mineral deposit
英文摘要: Machine learning algorithms have been applied widely in the fields of natural science, social science and engineering. It can be expected that machine learning approaches especially deep learning algorithms will help geoscientists to discover mineral deposits through processing of various geoscience datasets. This study reviews the state-of-the-art application of deep learning algorithms for processing geochemical exploration data and mining the geochemical patterns. Deep learning algorithms can deal with complex and nonlinear problems and, therefore, can enhance the identification of geochemical anomalies and the recognition of hidden patterns. Applied geochemistry needs more applications of machine learning and/or deep learning algorithms. © 2019 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/165987
Appears in Collections:气候变化与战略

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作者单位: State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, 430074, China; Key Laboratory of Geoscience Spatial Information Technology of Ministry of Natural Resources, Chengdu University of Technology, Chengdu, Sichuan 610059, China; Discipline of Geological Sciences, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Westville Campus, Durban, South Africa

Recommended Citation:
Zuo R.,Xiong Y.,Wang J.,et al. Deep learning and its application in geochemical mapping[J]. Earth Science Reviews,2019-01-01,192
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