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Estimating Ore Grade Using Evolutionary Machine Learning Models - 2023 ed.

By: (Author) Maliheh Abbaszadeh , (Author) Mohammad Ehteram , (Author) Saeed Soltani-Mohammadi , (Author) Zohreh Sheikh Khozani

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Ksh 19,800.00

Format: Paperback / Softback

ISBN-10: 9811981086

ISBN-13: 9789811981081

Edition: 2023 ed.

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 27th, 2023

Print length: 101 Pages

Product Classification: Petrology
Databases
Artificial intelligence
Machine learning

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This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. In this book, the author discusses the new concepts in mining engineering, such as uncertainty in ore grade modeling. In the book, readers learn how to construct advanced machine learning models for estimating ore grade.

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