Application of artificial neural network to study the performance of jig for beneficiation of non-coking coal

► Beneficiation of −3+0.3mm size fraction non-coking coal using jig was studied. ► Effects of particle sizes of bed material and particle sizes of coal were studied. ► Effects of feed rate and water rate on the performance of the jig were studied. ► ANN model was proposed to predict ash and combusti...

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Veröffentlicht in:	Fuel (Guildford) 2012-07, Vol.97, p.151-156
Hauptverfasser:	Panda, Lopamudra, Sahoo, A.K., Tripathy, A., Biswal, S.K., Sahu, A.K.
Format:	Artikel
Sprache:	eng
Schlagworte:	ANN Applied sciences Artificial neural networks Ashes Back propagation Beneficiation Coal Coal mines Combustible recovery Energy Energy. Thermal use of fuels Exact sciences and technology Fuels Jigging Learning theory Mathematical models Neural networks Non-coking coal
Online-Zugang:	Volltext
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