Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/1276
Title: Modeling of desilication of agro based black liquor using artificial neural networks
Authors: Mandavgane, Sachin A
Pandharipande, S L
Subramanian, D
Keywords: Artificial neural networks (ANN)
Black liquor
Carbonation
Pulp and paper mills
Issue Date: Jul-2007
Publisher: CSIR
Series/Report no.: G06N3/02; D21F
Abstract: Black liquor, obtained from agricultural residues and used as raw material for paper production, contains additional silica, which causes serious processing problems. In present work, multi layer perceptron (MLP) ANN with GDR based learning have been developed for estimation of silica concentration, lignin concentration, degree of desilication and delignification as a function of pH and time. ANNs model thus developed with one hidden layer was found to be of good accuracy level, both for training and test data set.
Description: 517-521
URI: http://hdl.handle.net/123456789/1276
ISSN: 0022-4456
Appears in Collections:JSIR Vol.66(07) [July 2007]

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