A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping
Sign Up to like & getrecommendations! Published in 2020 at "Geoscience frontiers"
DOI: 10.1016/j.gsf.2020.02.010
Abstract: Abstract Quantification of a mineral prospectivity mapping (MPM) heavily relies on geological, geophysical and geochemical analysis, which combines various evidence layers into a single map. However, MPM is subject to considerable uncertainty due to lack… read more here.
Keywords: mineral prospectivity; uncertainty; prospectivity mapping; analysis ... See more keywords
Fuzzy inference systems for mineral prospectivity modeling-optimized using Monte Carlo simulations
Sign Up to like & getrecommendations! Published in 2022 at "MethodsX"
DOI: 10.1016/j.mex.2022.101629
Abstract: Highlights • Mineral prospectivity modeling at the target scale for identification of drilling targets.• Monte Carlo simulations for optimization of fuzzy inference systems.• Quantification of uncertainties related to the fuzzy inference systems-based mineral prospectivity modeling.•… read more here.
Keywords: fuzzy inference; inference systems; prospectivity modeling; mineral prospectivity ... See more keywords
GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China
Sign Up to like & getrecommendations! Published in 2019 at "Ore Geology Reviews"
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