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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1603

Title: Application of Adaptive Resonance Theory for the classification of coal seams with respect to their spontaneous heating susceptibility
Authors: Sahu, H B
Panigrahi, D C
Mahapatra, S S
Keywords: Adaptive resonance theory
classification of coal seams
spontaneous heating
Issue Date: Aug-2011
Citation: International Conference on Industrial Application of Soft Computing Techniques, held at Bhubaneswar, during August 20-22, 2011
Abstract: Mine fire due to spontaneous heating is an inherent and major problem in coal mining industry. These fires endanger valuable lives of men in a mine, and cause considerable economic losses to the organisation and serious environmental degradation. This paper presents the application of adaptive resonance theory of artificial neural networks (ANN) for classification of coal seams with respect to their proneness to spontaneous heating. To apply this method, a number of coal samples were collected from different Indian coalfields covering both fiery and non-fiery coal seams of varying ranks spreading over 8 different mining companies. The intrinsic properties and spontaneous heating susceptibility indices of these samples were determined by different experimental techniques. Exhaustive correlation studies between susceptibility indices and the intrinsic properties have been carried out for identifying the appropriate spontaneous heating susceptibility indices and intrinsic properties to be...
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/1603
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