Estimating Ore Grade Using Evolutionary Machine Learning Models

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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Ngā kaituhi matua:	Ehteram, Mohammad (Author), Khozani, Zohreh Sheikh (Author), Soltani-Mohammadi, Saeed (Author), Abbaszadeh, Maliheh (Author)
Kaituhi rangatōpū:	SpringerLink (Online service)
Hōputu:	Tāhiko īPukapuka
Reo:	Ingarihi
I whakaputaina:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Putanga:	1st ed. 2023.
Ngā marau:	Mineralogy. Machine learning. Artificial intelligence > Data processing. Artificial intelligence. Machine Learning. Data Science. Artificial Intelligence.
Urunga tuihono:	https://doi.org/10.1007/978-981-19-8106-7
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!