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Machine learning of mineralization-related geochemical anomalies: A review of potential methods
R Zuo - Natural Resources Research, 2017 - Springer
Research on processing geochemical data and identifying geochemical anomalies has
made important progress in recent decades. Fractal/multi-fractal models, compositional data …
made important progress in recent decades. Fractal/multi-fractal models, compositional data …
[ספר][B] Geochemical anomaly and mineral prospectivity map** in GIS
EJM Carranza - 2008 - books.google.com
Geochemical Anomaly and Mineral Prospectivity Map** in GIS documents and explains,
in three parts, geochemical anomaly and mineral prospectivity map** by using a …
in three parts, geochemical anomaly and mineral prospectivity map** by using a …
Natural resources research publications on geochemical anomaly and mineral potential map**, and introduction to the special issue of papers in these fields
EJM Carranza - Natural Resources Research, 2017 - Springer
In its 26 years of existence, the journal of Natural Resources Research (NRR) has published
and continues to publish papers on geochemical anomaly and mineral potential map** …
and continues to publish papers on geochemical anomaly and mineral potential map** …
Data-driven predictive modeling of mineral prospectivity using random forests: A case study in Catanduanes Island (Philippines)
EJM Carranza, AG Laborte - Natural Resources Research, 2016 - Springer
Abstract The Random Forests (RF) algorithm is a machine learning method that has recently
been demonstrated as a viable technique for data-driven predictive modeling of mineral …
been demonstrated as a viable technique for data-driven predictive modeling of mineral …
Geocomputation of mineral exploration targets
EJM Carranza - Computers & Geosciences, 2011 - Elsevier
Mineral exploration endeavors to find ore deposits (ie, economically viable concentrations of
minerals or metals) for mining purposes. Delineation of targets for mineral exploration is the …
minerals or metals) for mining purposes. Delineation of targets for mineral exploration is the …
Practical implementation of random forest-based mineral potential map** for porphyry Cu–Au mineralization in the Eastern Lachlan Orogen, NSW, Australia
A Ford - Natural Resources Research, 2020 - Springer
With the increasing use of machine learning for big data analytics, several methods have
been implemented for the purpose of exploration targeting using mineral potential map** …
been implemented for the purpose of exploration targeting using mineral potential map** …
Indicator element selection and geochemical anomaly map** using recursive feature elimination and random forest methods in the **gdezhen region of Jiangxi …
Determining indicator element association for mineralization can not only improve mineral
exploration efficiency but also reduce the cost of unnecessary element analysis during …
exploration efficiency but also reduce the cost of unnecessary element analysis during …
Radial basis functional link nets used as a prospectivity map** tool for orogenic gold deposits within the Central Lapland Greenstone Belt, Northern Fennoscandian …
V Nykänen - Natural Resources Research, 2008 - Springer
Among the more popular spatial modeling techniques, artificial neural networks (ANN) are
tools that can deal with non-linear relationships, can classify unknown data into categories …
tools that can deal with non-linear relationships, can classify unknown data into categories …
A comparative analysis of weights of evidence, evidential belief functions, and fuzzy logic for mineral potential map** using incomplete data at the scale of …
A Ford, JM Miller, AG Mol - Natural Resources Research, 2016 - Springer
Large amounts of digital data must be analyzed and integrated to generate mineral potential
maps, which can be used for exploration targeting. The quality of the mineral potential maps …
maps, which can be used for exploration targeting. The quality of the mineral potential maps …
3D mineral prospectivity modeling based on machine learning: A case study of the Zhuxi tungsten deposit in northeastern Jiangxi Province, South China
G Fu, Q Lü, J Yan, CG Farquharson, G Qi, K Zhang… - Ore Geology …, 2021 - Elsevier
The Zhuxi tungsten deposit is the largest tungsten deposit in the world. A mineral
prospectivity analysis of the areas surrounding this deposit has the potential to identify …
prospectivity analysis of the areas surrounding this deposit has the potential to identify …