Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control
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...
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| Other Authors: | , |
| Format: | Electronic |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Series: | Studies in Computational Intelligence,
218 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-01888-6 |
Table of 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.