Computational intelligence techniques for bioprocess modelling, supervision and control Maria do Carmo Nicoletti and Lakhmi C. Jain (eds.).

Material type: Text

TextLanguage: eng Series: ; v. 218.Publication details: Berlin Springer 2009Description: x, 341 pages illustrations 25 cmISBN:

9783642018886

Subject(s):

DDC classification:

006.3 NIC

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.

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 scientists interested in bioprocesses. Chapters are self-contained and many of them include applications to real-world problems: - Computational Intelligence Techniques as Tools for Bioprocess Modelling, 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 Diagnosis 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 treptomyces lividans 66; - Bioprocess Modelling for Learning Model Predictive Control (L-MPC); - Performance Monitoring and Batch to Batch Control of Biotechnological Processes; - Modelling of Biotechnological Processes - an Approach based on Artificial Neural Networks

List(s) this item appears in: STEM & ENGINEERING CORNER

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	STEM & Engineering	006.3 NIC (Browse shelf(Opens below))	1	Available		CamTech 000895

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.

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 scientists interested in bioprocesses. Chapters are self-contained and many of them include applications to real-world problems: - Computational Intelligence Techniques as Tools for Bioprocess Modelling, 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 Diagnosis 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 treptomyces lividans 66; - Bioprocess Modelling for Learning Model Predictive Control (L-MPC); - Performance Monitoring and Batch to Batch Control of Biotechnological Processes; - Modelling of Biotechnological Processes - an Approach based on Artificial Neural Networks

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