Trivedi, Ratnesh and Raina, A.K. (2016) Simultaneous prediction of blast-induced flyrock and fragmentation in opencast limestone mines using back propagation neural network. International Journal of Mining and Mineral Engineering , 7 (3). pp. 237-252.

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Abstract

Goal of blasting operations is to achieve desired fragment size to operate the mine and plant economically while maintaining safety that includes prevention of flyrock accidents. This paper focuses on the simultaneous prediction of flyrock distance and fragmentation using back propagation neural network techniques. Thus, linear charge concentration, burden, spacing, stemming length, specific charge, unconfined compressive strength and rock quality designation are taken as input. Flyrock distance and fragment size are chosen as output. The predicted outputs by back propagation neural network (BPNN), multi variate regression analysis (MVRA) have been compared. The quite lower root mean square error (RMSE) and mean absolute error (MAE) in BPNN than MVRA prove that BPNN is a better prediction method. Also, the predicted output in BPNN correlates better with the observed output than MVRA. Sensitivity analysis for both independent variables for BPNN and MVRA is also included in this paper.

Item Type:	Article
Uncontrolled Keywords:	opencast mining; blasting; BPNNs; back propagation neural networks; multiple regression; flyrock fragmentation; limestone mines; linear charge concentration; burden; spacing; stemming length; specific charge; compressive strength; rock quality; flyrock distance; fragment size; root mean square error; RMSE; mean absolute error; MAE.
Subjects:	Blasting
Divisions:	UNSPECIFIED
Depositing User:	Mr. B. R. Panduranga
Date Deposited:	21 Mar 2018 09:42
Last Modified:	21 Mar 2018 09:42
URI:	http://cimfr.csircentral.net/id/eprint/1895

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