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Intelligent prediction of ground vibration in coal formations using ANN

Choudhury, PB (2012) Intelligent prediction of ground vibration in coal formations using ANN. In: Indian Mining & Engineering Journal, 2012.

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Official URL: http://cimfr.csircentral.net/1391/

Abstract

The present paper details the prediction of blast induced ground vibration, using artificial neural network. The data was generated from five different coal mines. Twenty one different parameters involving rock mass parameters, explosive parameters and blast design parameters, were used to develop the one comprehensive ANN model for five different coal bearing formations. A total of 131 datasets was used to develop the ANN model and 44 datasets was used to test the model. The developed ANN model was compared with the USBM model. The prediction capability to predict blast induced ground vibration, of the comprehensive ANN model was found to be superior.

Item Type: Conference Paper
Additional Information: Copyright of this article belongs to Indian Mining & Engineering.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Depositing User: Francis Jayakanth
Date Deposited: 27 Mar 2014 08:59
Last Modified: 27 Mar 2014 08:59
URI: http://eprints.iisc.ac.in/id/eprint/48803

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