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Computational intelligence techniques for bioprocess modelling, supervision and control

Author: Maria do Carmo Nicoletti; L C Jain
Publisher: Berlin : Springer, ©2009.
Series: Studies in computational intelligence, v. 218.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Publication:Springer - LINK.
Summary:
This research book presents the use of computational intelligence paradigms in bioprocess related tasks namely modeling, supervision, monitoring and control, diagnostic, learning and optimization, with applications to several areas. Aimed at researchers, practitioners and graduate students, it will also serve as a text for advanced courses in chemical engineering, bioinformatics and biotechnology, and for computer  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Computational intelligence techniques for bioprocess modelling, supervision and control.
Berlin : Springer, ©2009
(OCoLC)401159406
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Maria do Carmo Nicoletti; L C Jain
ISBN: 9783642018886 3642018882
OCLC Number: 437346709
Description: 1 online resource (x, 341 pages) : illustrations (some color).
Contents: Computational Intelligence Techniques as Tools for Bioprocess Modeling, Optimization, Supervision and Control --
Software Sensors and their Applications in Bioprocess --
Monitoring of Bioprocesses: Mechanistic and Data-Driven Approaches --
Novel Computational Methods for Modeling and Control in Chemical and Biochemical Process Systems --
Computational Intelligence Techniques for Supervision and Diagnostic of Biological Wastewater Treatment Systems --
Multiobjective Genetic Algorithms for the Optimisation of Wastewater Treatment Processes --
Data Reconciliation Using Neural Networks for the Determination of KLa --
A Computational Intelligent Based Approach for the Development of a Minimal Defined Medium: Application to Human Interleukin-3 Production by Streptomyces lividans 66 --
Bioprocess Modelling for Learning Model Predictive Control (L-MPC) --
Monitoring the Performance of Biotechnological Processes --
Modelling of Biotechnological Processes --
an Approach based on Artificial Neural Networks.
Series Title: Studies in computational intelligence, v. 218.
Responsibility: Maria do Carmo Nicoletti and Lakhmi C. Jain (eds.).

Abstract:

This research book presents the use of computational intelligence paradigms in the bioprocess-related tasks of modeling, supervision, monitoring and control, diagnostic, learning and optimization.  Read more...

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