Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/4863
Title: Artificial neural network for solving paper industry problems: A review
Authors: Rajesh, Kumar
Ray, A K
Keywords: Artificial intelligence
Fault diagnosis
Neural networks
Paper mill simulation
Prediction of paper properties
Issue Date: Jul-2006
Publisher: CSIR
Series/Report no.: G06N3/02; D2/F
Abstract: The review focuses on applications of artificial neural networks (ANNs) in various subsystems of pulp and paper making processes. Some applications are pertinent to modeling of pulping, bleaching and energy conservation process while others are related to control of refining, washing of brown stock, combustion of black liquor, lime kiln operation, grade changes and quality control. A general algorithm is also developed to demonstrate how to solve the complex problem using ANN for paper mill subsystems<i style="">.</i>
Description: 565-573
URI: http://hdl.handle.net/123456789/4863
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.65(07) [July 2006]

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