Prediction of Ground Vibrations Using Neural Network in a Peruvian Mine

International Society of Explosives Engineers
Darwin Torres Sandro Huaman Pavel A. Torres
Organization:
International Society of Explosives Engineers
Pages:
10
File Size:
1104 KB
Publication Date:
Feb 1, 2020

Abstract

Given the limited efficiency of blast-induced ground vibrations prediction empirical models, due to the complex geological system from a Peruvian mine. An artificial neural network was built in order to get better results. More accurate and precise predictions allowed the generation of blasting domains for future designs and decision making.
Citation

APA: Darwin Torres Sandro Huaman Pavel A. Torres  (2020)  Prediction of Ground Vibrations Using Neural Network in a Peruvian Mine

MLA: Darwin Torres Sandro Huaman Pavel A. Torres Prediction of Ground Vibrations Using Neural Network in a Peruvian Mine. International Society of Explosives Engineers, 2020.

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