Prakash, A. and Singh, K. B. (2009) Subsidence Prediction by Artificial Neural network of Jharia coalfield. Mining Engineers Journal . pp. 17-28.

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Abstract

Artificial Neural Network (ANN) uses a neural net which dynamically grows hidden neurons a build a model. Perfect predication is expected if all the variables are incorporated in input to neural network. It is one of the tools to predict subsidence as well as to evaluate the relative importance of each parameter that cause subsidence. This paper deals with an attempt to predict the subsidence owing to underground coal mining with hydraulic sand stowing in Jharia coalfield.

Item Type:	Article
Uncontrolled Keywords:	Neural network, subsidence, Prediction, mining
Subjects:	Mine Subsidence
Divisions:	UNSPECIFIED
Depositing User:	Dr. Satyendra Kumar Singh
Date Deposited:	12 Jan 2012 10:12
Last Modified:	12 Jan 2012 10:12
URI:	http://cimfr.csircentral.net/id/eprint/645

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