GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China-Reference-Cited by-同舟云学术

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

Published:2019-06 Issue: Volume:109 Page:26-49
ISSN:0169-1368
Container-title:Ore Geology Reviews
language:en
Short-container-title:Ore Geology Reviews

Author:

Sun Tao,Chen Fei,Zhong Lianxiang,Liu Weiming,Wang Yun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology

Reference125 articles.

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3. Prospectivity analysis of orogenic gold deposits in Saqez-Sardasht Goldfield, Zagros Orogen, Iran;Almasi;Ore Geol. Rev.,2017

4. A predictive GIS model for mapping potential gold and base metal mineralization in Takab area, Iran;Asadi;Comput. Geosci.,2001

5. The application of median indicator kriging and neural network in modelling mixed population in an iron ore deposit;Badel;Comput. Geosci.,2011

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