Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control
โ Scribed by M. C. Nicoletti, L. C. Jain, R. C. Giordano (auth.), Maria do Carmo Nicoletti, Lakhmi C. Jain (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2009
- Tongue
- English
- Leaves
- 348
- Series
- Studies in Computational Intelligence 218
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter....Pages -
Computational Intelligence Techniques as Tools for Bioprocess Modelling, Optimization, Supervision and Control....Pages 1-23
Software Sensors and Their Applications in Bioprocess....Pages 25-56
Monitoring of Bioprocesses: Mechanistic and Data-Driven Approaches....Pages 57-97
Novel Computational Methods for Modeling and Control in Chemical and Biochemical Process Systems....Pages 99-125
Computational Intelligence Techniques for Supervision and Diagnosis of Biological Wastewater Treatment Systems....Pages 127-162
Multiobjective Genetic Algorithms for the Optimisation of Wastewater Treatment Processes....Pages 163-195
Data Reconciliation Using Neural Networks for the Determination of K L a....Pages 197-214
A Computational Intelligent Based Approach for the Development of a Minimal Defined Medium: Application to Human Interleukin-3 Production by Streptomyces lividans 66 ....Pages 215-236
Bioprocess Modelling for Learning Model Predictive Control (L-MPC)....Pages 237-280
Performance Monitoring and Batch to Batch Control of Biotechnological Processes....Pages 281-310
Modelling of Biotechnological Processes โ An Approach Based on Artificial Neural Networks....Pages 311-332
Back Matter....Pages -
โฆ Subjects
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Biomedical Engineering; Bioinformatics
๐ SIMILAR VOLUMES
<p><span>Supervision for Occupational Therapy</span><span> is a practical text that guides both supervisors and supervisees to make the most out of supervision opportunities. </span></p><p><span>While supervision in occupational therapy is vital as a mechanism for public and professional safety, lea
<p></p><p>This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs
<span>This book reports on the latest advances from both industry and academia on ubiquitous intelligence and how it is enabled by 5G/6G communication technologies. The authors cover network protocol and architecture design, machine learning and artificial intelligence, coordinated control and digit
Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and consid
<p><p>The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is str