Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/105873
Type: Capítulo de livro
Title: Neural Network Based Software Sensors: Application To Biosurfactant Production By Candida Lipolytica
Author: Albuquerque C.D.C.
Campos-Takaki G.M.
Fileti A.M.F.
Abstract: This paper showed that on-line estimation and multi-step ahead prediction of emulsification activity and biomass concentration could be satisfactorily carried out employing well-trained feedforward backpropagation neural networks with one hidden layer. The results showed that neural 'software sensors' supplied for biomass concentration and emulsification activity on-line estimation and prediction within an acceptable variation of 5% of the experimental values. Coefficients of determination higher than 0.90 indicated excellent agreement of the neural network models with experimental test values, obtained for biomass concentration and emulsification activity. © 2006 Wiley-VCH Verlag GmbH & Co. KGaA.
Editor: John Wiley and Sons
Rights: fechado
Identifier DOI: 10.1002/9783527611904.ch112
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-53949101101&partnerID=40&md5=803e0e24909073096f23bc19d9925c57
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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