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Application of Artificial Neural Networks for the Prediction of the Intensity of Ground Vibration at the Veliki Krivelj Copper Mine

  • GEOMECHANICS
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Journal of Mining Science Aims and scope

Abstract

This article presents an artificial neural network (ANN)-based mathematical model for the prediction of the intensity of ground vibration at the Veliki Krivelj copper mine. The starting points for the development of the model are the model of ground vibration, the software package Peltarion Synapse, as a basis, using artificial neural networks ANN and input–output data set of blasted patterns at the Veliki Krivelj open pit. The input–output set contains the values of the blasting parameters of individual blasting patterns and the measured peak particle velocities when blasting those patterns. The advantage of the ANN method was confirmed by comparing the results of predicting the particle velocity obtained by different methods.

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Authors and Affiliations

  1. Serbia Zijin Copper DOO, 19210, Bor, Serbia

    J. Radisavljevic

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  1. J. Radisavljevic
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Correspondence to J. Radisavljevic.

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Translated from Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh, 2023, No. 2, pp. 34-47. https://doi.org/10.15372/FTPRPI20230204.

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Radisavljevic, J. Application of Artificial Neural Networks for the Prediction of the Intensity of Ground Vibration at the Veliki Krivelj Copper Mine. J Min Sci 59, 211–224 (2023). https://doi.org/10.1134/S1062739123020047

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  • DOI: https://doi.org/10.1134/S1062739123020047

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