Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/95089
Type: Artigo de periódico
Title: Neural Network And Hybrid Model: A Discussion About Different Modeling Techniques To Predict Pulping Degree With Industrial Data
Author: Aguiar H.C.
Filho R.M.
Abstract: Three models to predict kappa number in a pulp mill have been compared. The deterministic model showed expected behavior and was later used in the hybrid model. The pure network model was able to reproduce mill values with satisfactory accuracy, after network optimization and training set filtering. With the introduction of theoretical knowledge in the network structure, the hybrid model results demonstrated a better prediction efficiency and reduced training time. © 2001 Elsevier Science Ltd. All rights reserved.
Editor: 
Rights: fechado
Identifier DOI: 10.1016/S0009-2509(00)00261-X
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0035036816&partnerID=40&md5=af6efc5b85b1dd73dfc517978bae19d7
Date Issue: 2001
Appears in Collections:Unicamp - Artigos e Outros Documentos

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