A Multi-Model Ensemble Approach for Gold Mineral Prospectivity Mapping: A Case Study on the Beishan Region, Western China

A Multi-Model Ensemble Approach for Gold Mineral Prospectivity Mapping: A Case Study on the Beishan Region, Western China

Mineral prospectivity mapping (MPM) needs robust predictive techniques so that the target zones of mineral deposits can be accurately delineated at a specific location. Although an individual machine learning algorithm has been successfully applied, it remains a challenge because of the complicated...

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Bibliographic Details
Main Authors: Kaijian Wang, Xinqi Zheng, Gongwen Wang, Dongya Liu, Ning Cui
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Minerals
Subjects:
stacking ensemble learning method
random forest
support vector machine
maximum entropy model
mineral prospectivity mapping
Beishan region, China
Online Access:https://www.mdpi.com/2075-163X/10/12/1126

Internet

https://www.mdpi.com/2075-163X/10/12/1126

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