Estimating Ore Grade Using Evolutionary Machine Learning Models

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Éditeur :

Springer

Paru le : 2022-12-27

This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. A variety of case studies are examined in this book. A motivation for preparing this book was the absence of robust models for estimating ore grade. Models of current books can also be use...
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Éditeur

Collection
n.c

Parution
2022-12-27

Pages
101 pages

EAN papier
9789811981050

Mohammad Ehtearm is a Researcher in the field of artificial intelligence. He has a Ph.D. in civil engineering. His research interests generally lie in the areas application of remote sensing in water resources, water, energy, and food nexus, extreme hydrological events, river engineering, remote sensing in water resources, dam and hydropower operation, geotechnical engineering, mining engineering, artificial intelligence, and remote sensing in mining engineering. Zohreh Sheikh Khozani is a Scientific Researcher in the field of civil engineering and mining engineering. The scope of her current research is covering hydraulic structures, hydrology, water resources engineering, environmental engineering, and the implementation of data analytics, geotechnical engineering, mining engineering, and artificial intelligence models. Saeed Soltani-Mohammadi is Associate Professor at Department of Mining Engineering, University of Kashan, Iran. He holds a PhD on mining engineering from the Amirkabir University of technology in 2009. His research spans application of artificial intelligence and optimization methods in geosciences and mining problems. He developed many soft computing models based on practical applications for mining engineering. Maliheh Abbaszadeh is Assistant Professor at Department of Mining Engineering, University of Kashan, Iran. She holds a Ph.D. in mining engineering from the Amirkabir University of technology in 2014. She developed her teaching activity in the areas of geochemical exploration, remote sensing and machine learning algorithms. Her primary research interest is application of machine learning algorithms in exploratory data analysis.

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EAN PDF
9789811981067
Prix
137,14 €
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3625 Ko
EAN EPUB
9789811981067
Prix
137,14 €
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
17695 Ko

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