Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/100458
Type: Artigo de periódico
Title: Modeling And Optimization Of Pulp And Paper Processes Using Neural Networks
Author: Aguiar H.C.I.L.
Maciel Filho R.
Abstract: Two different methods are used to simulate the pulping process in a Kraft digestor - a deterministic model based on kinetic equations and mass transfer and a neural network model, based on a series of training patterns with usual process variables as inputs and pulp composition as output. The study indicates which process parameters have stronger influence on delignification rate, and shows that the neural network and the deterministic model present equivalent results. © 1998 Published by Elsevier Science Ltd. All rights reserved.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0004995505&partnerID=40&md5=3356808c3c7c97fa120b30d72b8fa05e
Date Issue: 1998
Appears in Collections:Unicamp - Artigos e Outros Documentos

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