Please use this identifier to cite or link to this item:
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
IPC Code: 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.
Page(s): 565-573
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.65(07) [July 2006]

Files in This Item:
File Description SizeFormat 
JSIR 65(7) 565-573.pdf624.13 kBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.