Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/4863
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dc.contributor.authorRajesh, Kumar-
dc.contributor.authorRay, A K-
dc.date.accessioned2009-06-26T05:37:06Z-
dc.date.available2009-06-26T05:37:06Z-
dc.date.issued2006-07-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/4863-
dc.description565-573en_US
dc.description.abstractThe 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.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.relation.ispartofseriesG06N3/02; D2/Fen_US
dc.sourceJSIR Vol.65(07) [July 2006]en_US
dc.subjectArtificial intelligenceen_US
dc.subjectFault diagnosisen_US
dc.subjectNeural networksen_US
dc.subjectPaper mill simulationen_US
dc.subjectPrediction of paper propertiesen_US
dc.titleArtificial neural network for solving paper industry problems: A reviewen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.65(07) [July 2006]

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