[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 …
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 …
Exploration feature selection applied to hybrid data integration modeling: Targeting copper-gold potential in central Iran
A Sugeno-type fuzzy inference system is implemented in the framework of an adaptive
neural network to map Cu–Au prospectivity of the Urumieh–Dokhtar magmatic arc (UDMA) …
neural network to map Cu–Au prospectivity of the Urumieh–Dokhtar magmatic arc (UDMA) …
Groundwater potential characterisation over the Voltaian basin using geophysical, geological, hydrological and topographical datasets
The delineation of prospective zones of groundwater resources has been carried out over
the Voltaian basin as a viable alternative source of potable water resource to complement …
the Voltaian basin as a viable alternative source of potable water resource to complement …
Application of fuzzy AHP method to IOCG prospectivity map**: A case study in Taherabad prospecting area, eastern Iran
Using fuzzy analytical hierarchy process (AHP) technique, we propose a method for mineral
prospectivity map** (MPM) which is commonly used for exploration of mineral deposits …
prospectivity map** (MPM) which is commonly used for exploration of mineral deposits …
Introduction to the special issue: GIS-based mineral potential targeting
Mineral potential targeting using geographical information system is an efficient technique to
delimit a study area for further exploration of mineral deposits. This introduction presents an …
delimit a study area for further exploration of mineral deposits. This introduction presents an …
A hybrid AHP-VIKOR approach for prospectivity modeling of porphyry Cu deposits in the Varzaghan District, NW Iran
Identifying highly favorable areas related to a particular mineralization type is the main
objective of mineral prospectivity modeling (MPM). The northwestern portion of Ahar …
objective of mineral prospectivity modeling (MPM). The northwestern portion of Ahar …
A general framework of TOPSIS method for integration of airborne geophysics, satellite imagery, geochemical and geological data
This work presents the promising application of three variants of TOPSIS method (namely
the conventional, adjusted and modified versions) as a straightforward knowledge-driven …
the conventional, adjusted and modified versions) as a straightforward knowledge-driven …
Mesothermal gold prospectivity map** of the southern Kibi-Winneba belt of Ghana based on Fuzzy analytical hierarchy process, concentration-area (CA) fractal …
In this paper, the southern Kibi-Winneba belt, which shares geological resemblance with the
renowned Ashanti belt in Ghana has been investigated to delineate prospective zones of …
renowned Ashanti belt in Ghana has been investigated to delineate prospective zones of …
Mineral potential map** via TOPSIS with hybrid AHP–Shannon entropy weighting of evidence: a case study for porphyry-cu, Farmahin area, Markazi Province, Iran
F Feizi, A Karbalaei-Ramezanali, H Tusi - Natural Resources Research, 2017 - Springer
This paper presents an AHP–Shannon Entropy weighting approach as a new hybrid method
for assigning evidential weights in mineral potential map**. For demonstrating the …
for assigning evidential weights in mineral potential map**. For demonstrating the …