Choudhury , P.B. (2012) Intelligent Prediction of Ground Vibration in Coal Formations Using ANN. Indian Mining & Engineering Journal , 51 (9). pp. 21-24. ISSN 0019-5944

Full text not available from this repository. (Request a copy)

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:	Article
Subjects:	Blasting
Divisions:	UNSPECIFIED
Depositing User:	Dr. Satyendra Kumar Singh
Date Deposited:	11 Sep 2012 12:08
Last Modified:	11 Sep 2012 12:08
URI:	http://cimfr.csircentral.net/id/eprint/1391

Actions (login required)

View Item