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Neural modeling for cytochrome b5 extraction

Paper ID Volume ID Publish Year Pages File Format Full-Text
36333 45129 2006 4 PDF Available
Title
Neural modeling for cytochrome b5 extraction
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).

Keywords
Cytochrome b5; Liquid–liquid extraction; Modeling; Neural networks; Two-phase systems
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Neural modeling for cytochrome b5 extraction
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Publisher
Database: Elsevier - ScienceDirect
Journal: Process Biochemistry - Volume 41, Issue 6, June 2006, Pages 1272–1275
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us