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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Bibliographic Details
Main Authors: Chen, Lei Zhi (Author), Chen, Xiao Dong (Author), Nguang, Sing Kiong (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Series:Studies in Computational Intelligence, 15
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.