Estimating Ore Grade Using Evolutionary Machine Learning Models
2023 ed.
Book Details
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:
PetrologyDatabasesArtificial intelligenceMachine learning
Ksh 21,600.00
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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.
Get Estimating Ore Grade Using Evolutionary Machine Learning Models by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Verlag, Singapore and it has pages.
