Predicting ore content throughout a machine learning procedure – An Sn-W enrichment case study

The distribution patterns of trace elements are a very useful tool for the prediction of mineral deposits occurrence and possible future exploitation. Machine learning techniques were used for the computation of adequate models in trace elements’ prediction. The main subject of this research is to d...

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Bibliographic Details
Main Author: Iglesias, C. (author)
Other Authors: Antunes, Isabel Margarida Horta Ribeiro (author), Albuquerque, M. T. D. (author), Martínez, J. (author), Taboada, J. (author)
Format: article
Language:eng
Published: 2020
Subjects:
Mineral potential
Machine Learning
Classification model
Sn-W prediction
Portugal
Stream sediments
Ore potential
Ciências Naturais::Ciências da Terra e do Ambiente
Science & Technology
Online Access:http://hdl.handle.net/1822/64851
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/64851

Internet

http://hdl.handle.net/1822/64851

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