Modelling and Optimization of Biotechnological Processes Artificial Intelligence Approaches /

This book presents logical approaches to monitoring, modelling and optimization of fed-batch fermentation processes based on artificial intelligence methods, in particular, neural networks and genetic algorithms. Both computer simulation and experimental validation are demonstrated in this book. The...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Chen, Lei Zhi (Autor), Nguang, Sing Kiong (Autor), Chen, Xiao Dong (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Studies in Computational Intelligence, 15
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Biomedical engineering.
Bioinformatics.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Biomedical Engineering and Bioengineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Optimization of Fed-batch Culture of Hybridoma Cells using Genetic Algorithms
  • On-line Identification and Optimization of Feed Rate Profiles for Fed-batch Culture of Hybridoma Cells
  • On-line Softsensor Development for Biomass Measurements using Dynamic Neural Networks
  • Optimization of Fed-batch Fermentation Processes using Genetic Algorithms based on Cascade Dynamic Neural Network Models
  • Experimental Validation of Cascade Recurrent Neural Network Models
  • Designing and Implementing Optimal Control of Fed-batch Fermentation Processes
  • Conclusions.

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