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[HTML][HTML] GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China

T Sun, F Chen, L Zhong, W Liu, Y Wang - Ore Geology Reviews, 2019 - Elsevier
Predictive modelling of mineral prospectivity using GIS is a valid and progressively more
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …
被引用次数：224 相关文章

GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China

T Sun, F Chen, L Zhong, W Liu… - Ore Geology …, 2019 - ui.adsabs.harvard.edu
Predictive modelling of mineral prospectivity using GIS is a valid and progressively more
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …
[PDF] academia.edu

[PDF][PDF] GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China

T Sun, F Chen, L Zhong, W Liu, Y Wang - Ore Geology Reviews, 2019 - academia.edu
Predictive modelling of mineral prospectivity using GIS is a valid and progressively more
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …
[PDF] researchgate.net

[PDF][PDF] GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China

T Sun, F Chen, L Zhong, W Liu, Y Wang - Ore Geology Reviews, 2019 - researchgate.net
Predictive modelling of mineral prospectivity using GIS is a valid and progressively more
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …