Rock Fragmentation Prediction Using an Artificial Neural Network and Support Vector Regression Hybrid Approach

Rock Fragmentation Prediction Using an Artificial Neural Network and Support Vector Regression Hybrid Approach

While empirical rock fragmentation models are easy to parameterize for blast design, they are usually prone to errors, resulting in less accurate fragment size prediction. Among other shortfalls, these models may be unable to accurately account for the nonlinear relationship that exists between frag...

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Bibliographic Details
Main Authors: Richard Amoako, Ankit Jha, Shuo Zhong
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Mining
Subjects:
rock fragmentation prediction
machine learning
Kuz–Ram model
fragmentation models
fragment size distribution
artificial neural network
Online Access:https://www.mdpi.com/2673-6489/2/2/13

Internet

https://www.mdpi.com/2673-6489/2/2/13

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