A novel hybrid ensemble model for mineral prospectivity prediction: A case study in the Malipo W-Sn mineral district, Yunnan Province, China

被引：0
|
作者：
Zhao, Chenyi [1 ]
Zhao, Jie [1 ,2 ,3 ]
Wang, Wenlei [4 ]
Yuan, Changjiang [1 ]
Tang, Jie [1 ,4 ]
机构：
[1] School of Earth Sciences and Resources, China University of Geosciences, Beijing,100083, China
[2] State Key Lab of Geological Processes and Mineral Resources, China University of Geosciences, Beijing,100083, China
[3] Beijing Key Laboratory of Land Resources Information Research & Development, China University of Geosciences (Beijing), Beijing,100083, China
[4] Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing,100081, China
来源：
Ore Geology Reviews | 2024年 / 168卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Convolutional neural networks - Generative adversarial networks - Learning systems - Mineral exploration - Minerals - Transfer learning
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    Zhao, Chenyi
    Zhao, Jie
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    Yuan, Changjiang
    Tang, Jie
    [J]. ORE GEOLOGY REVIEWS, 2024, 168
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    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2018, 11 (09)
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