2   Artículos

 
en línea
Xishihui Du, Kefa Zhou, Yao Cui, Jinlin Wang and Shuguang Zhou    
Machine learning (ML) as a powerful data-driven method is widely used for mineral prospectivity mapping. This study employs a hybrid of the genetic algorithm (GA) and support vector machine (SVM) model to map prospective areas for Au deposits in Karamay,... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Graham Ferrier, Athanassios Ganas, Richard Pope and A. Jo Miles    
A Mineral prospectivity mapping (MPM) approach using a GIS-based weighted linear combination implementation of a Multi-Criteria Evaluation approach utilising a fuzzy Analytical Hierarchy Process to elucidate expert knowledge has been implemented to analy... ver más
Revista: Geosciences    Formato: Electrónico

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