Comparison of geostatistical and machine learning models for predicting geochemical concentration of iron: case of the Nkout iron deposit (south Cameroon)-Reference-Cited by-同舟云学术

Comparison of geostatistical and machine learning models for predicting geochemical concentration of iron: case of the Nkout iron deposit (south Cameroon)

Published:2022-11 Issue: Volume:195 Page:104662
ISSN:1464-343X
Container-title:Journal of African Earth Sciences
language:en
Short-container-title:Journal of African Earth Sciences

Author:

Boroh André William^ORCID,Kouayep Lawou Sylvain^ORCID,Mfenjou Martin Luther,Ngounouno Ismaïla

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Geology

Reference39 articles.

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2. Quantitative mineralogical and chemical assessment of the Nkout iron ore deposit, Southern Cameroon;Anderson;Ore Geol. Rev.,2014

3. Geostatistical Simulations: Proceedings of the Geostatistical Simulation Workshop, Fontainebleau, France, 27–28 May 1993;Armstrong,2013

4. Iron ore resource modeling and estimation using geostatistics;Bargawa,2020

5. Machine Learning Algorithms;Bonaccorso,2017

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