Rock Fragmentation Prediction Using Machine Learning

International Society of Explosives Engineers
RICHARD AMOAKO Ankit Jha
Organization:
International Society of Explosives Engineers
Pages:
13
File Size:
614 KB
Publication Date:
Feb 1, 2020

Abstract

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In this paper, we examine the challenges associated with the use of empirical rock fragmentation models. We highlight key parameters omitted by these models, and propose a machine learning approach that incorporates these parameters, leading to a simple, yet more accurate approach to blast design.
Citation

APA: RICHARD AMOAKO Ankit Jha  (2020)  Rock Fragmentation Prediction Using Machine Learning

MLA: RICHARD AMOAKO Ankit Jha Rock Fragmentation Prediction Using Machine Learning. International Society of Explosives Engineers, 2020.

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