Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network

Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network

In mining or construction projects, for exploitation of hard rock with high strength properties, blasting is frequently applied to breaking or moving them using high explosive energy. However, use of explosives may lead to the flyrock phenomenon. Flyrock can damage structures or nearby equipment in...

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Bibliographic Details
Main Authors: Bhatawdekar Ramesh Murlidhar, Hoang Nguyen, Jamal Rostami, XuanNam Bui, Danial Jahed Armaghani, Prashanth Ragam, Edy Tonnizam Mohamad
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Flyrock
Harris hawks optimization (HHO)
Multi-layer perceptron (MLP)
Random forest (RF)
Support vector machine (SVM)
Whale optimization algorithm (WOA)
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775521001335

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http://www.sciencedirect.com/science/article/pii/S1674775521001335

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