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Deep learning and its application in geochemical map**
R Zuo, Y ** using machine learning methods: A case study from Tongling ore district, eastern China
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 …
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …
Genetic algorithm to optimize the SVM and K-means algorithms for map** of mineral prospectivity
Unsupervised clustering (eg, K-means) and supervised machine learning [eg, support vector
machines (SVMs)] methods can be used in data-driven classification and predictive …
machines (SVMs)] methods can be used in data-driven classification and predictive …
Lithospheric architecture of the Lhasa terrane and its control on ore deposits in the Himalayan-Tibetan orogen
Magmatic-hydrothermal ore deposits in collisional orogens are new targets for modern
mineral exploration, yet it is unclear why they preferentially occur in some specific tectonic …
mineral exploration, yet it is unclear why they preferentially occur in some specific tectonic …
Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
Mineral exploration targeting is a highly complex decision-making task. Two key risk factors,
the quality of exploration data and robustness of the underlying conceptual targeting model …
the quality of exploration data and robustness of the underlying conceptual targeting model …
[HTML][HTML] Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity map**
J Yin, N Li - Ore geology reviews, 2022 - Elsevier
Abstract Machine learning algorithms have been widely applied in mineral prospectivity
map** (MPM). In this study, we implemented ensemble learning of extreme gradient …
map** (MPM). In this study, we implemented ensemble learning of extreme gradient …
Exploration information systems–A proposal for the future use of GIS in mineral exploration targeting
The advent of modern data collection and storage technologies has brought about a huge
increase in data volumes with both traditional and machine learning tools struggling to …
increase in data volumes with both traditional and machine learning tools struggling to …
Global distribution of sediment-hosted metals controlled by craton edge stability
Sustainable development and the transition to a clean-energy economy drives ever-
increasing demand for base metals, substantially outstrip** the discovery rate of new …
increasing demand for base metals, substantially outstrip** the discovery rate of new …
Translation of the function of hydrothermal mineralization-related focused fluid flux into a mappable exploration criterion for mineral exploration targeting
Formation of hydrothermal mineralization is related to the late stages of, or immediate
following, orogenic compressional regimes that have been superimposed on arc …
following, orogenic compressional regimes that have been superimposed on arc …