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...
Enregistré dans:
| Autres auteurs: | , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2009. |
| Collection: | Studies in Computational Intelligence
218 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control, Texte imprimé, 9783642018879 • Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control, Texte imprimé, 9783642018893 • Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control, Texte imprimé, 9783642018879 • Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control, Texte imprimé, 9783642424861 |
Table des matières:
- 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 Streptomyces 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