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Type: Artigo de periódico
Title: Neural modeling for cytochrome b5 extraction
Author: Tambourgi, EB
Fischer, GA
Fileti, AMF
Abstract: In this work a neural model for cytochrome b5 extraction in batch and in continuous operation was developed. The best feedforward arquiteture achieved for batch operation modeling was 3-4-1 and 3-8-2 for the continuous operation. It was observed that among the models developed, the best adjustment was that obtained with Bayesian regularization algorithm training. Deviations of less than 10% were observed for the experimental data and they are similar for the neural model, since it was statistically proved the null hypothesis in the comparison between the two independent samples (experimental and predicted outputs). (c) 2006 Elsevier Ltd. All rights reserved.
Subject: cytochrome b5
liquid-liquid extraction
neural networks
two-phase systems
Country: Inglaterra
Editor: Elsevier Sci Ltd
Citation: Process Biochemistry. Elsevier Sci Ltd, v. 41, n. 6, n. 1272, n. 1275, 2006.
Rights: fechado
Identifier DOI: 10.1016/j.procbio.2005.12.027
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

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