PREDICTION OF BLAST-INDUCED FLYROCK BY USING NEURAL-IMPERIALIST COMPETITIVE METHOD (CASE STUDY: SUNGUN COPPER MINE)

PREDICTION OF BLAST-INDUCED FLYROCK BY USING NEURAL-IMPERIALIST COMPETITIVE METHOD (CASE STUDY: SUNGUN COPPER MINE)

This research focuses on conducting studies that predict the distance of blast-induced flyrock, which is an undesirable environmental phenomenon in open-pit mines. While there are experimental methods available for predicting blastinduced flyrock, the complex process of assessing the distance of fly...

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Bibliographic Details
Main Authors: Jalil Hanifehnia, Akbar Esmaeilzadeh, Reza Mikaeil, Solat Atalou
Format: Article
Language:English
Published: University of Zagreb 2024-01-01
Series:Rudarsko-geološko-naftni Zbornik
Subjects:
flyrock distance
blast
artificial neural network
imperialist competitive algorithm
Sungun copper mine
Online Access:https://hrcak.srce.hr/file/466686
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