Mapping mineral prospectivity using an extreme learning machine regression
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DOI: 10.1016/j.oregeorev.2016.06.033
Abstract: Abstract In this research, we conduct a case study of mapping polymetallic prospectivity using an extreme learning machine (ELM) regression. A Quad-Core CPU 1.8 GHz laptop computer served as hardware platform. Almeida's Python program was used… read more here.
Keywords: logistic regression; regression; prospectivity; elm regression ... See more keywords
GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China
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DOI: 10.1016/j.oregeorev.2019.04.003
Abstract: Abstract Predictive modelling of mineral prospectivity using GIS is a valid and progressively more accepted tool for delineating reproducible mineral exploration targets. In this study, machine learning methods, including support vector machine (SVM), artificial neural… read more here.
Keywords: mineral prospectivity; tongling ore; machine; ore district ... See more keywords
Controls on and prospectivity mapping of volcanic-type uranium mineralization in the Pucheng district, NW Fujian, China
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DOI: 10.1016/j.oregeorev.2019.103028
Abstract: Abstract A number of volcanic-type uranium deposits occur in Pucheng district, Fujian province, China. Structural controls and volcanic rocks clearly explain the uranium mineralization in this area. To explore the subtle spatial associations of uranium… read more here.
Keywords: prospectivity; uranium mineralization; mineralization; pucheng district ... See more keywords
Prospectivity modelling of Canadian magmatic Ni (±Cu ± Co ± PGE) sulphide mineral systems
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DOI: 10.1016/j.oregeorev.2021.103985
Abstract: Abstract New mineral deposit discoveries are required to meet the forecasted demand for some critical raw materials. Governments are responding to that challenge by investing in mineral systems research and by by making government geoscience… read more here.
Keywords: prospectivity modelling; geoscience; mineral system; mineral systems ... See more keywords
Prospectivity analysis of gold and iron oxide copper-gold-(silver) mineralizations from the Faina Greenstone Belt, Brazil, using multiple data sets
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DOI: 10.1590/2317-4889201720170012
Abstract: The Faina Greenstone Belt is located in the southern sector of the Goias Archean Block and has been investigated since the 18th century because of its gold deposits. Recent studies have revealed the polymetallic potential… read more here.
Keywords: greenstone belt; multiple data; prospectivity; faina greenstone ... See more keywords