Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
Author:
Funder
European Commission
Spanish MINECO
Junta de Andalucía
Publisher
Elsevier BV
Subject
Economic Geology,Geochemistry and Petrology,Geology
Reference112 articles.
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