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Modelling and Optimization of Biotechnological Processes

Artificial Intelligence Approaches

  • Lei Zhi Chen
  • Xiao Dong Chen
  • Sing Kiong Nguang

Part of the Studies in Computational Intelligence book series (SCI, volume 15)

About this book

Introduction

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 approaches proposed in this book can be readily adopted for different processes and control schemes to achieve maximum productivity with minimum development and production costs. These approaches can eliminate the difficulties of having to specify completely the structures and parameters of highly nonlinear bioprocess models.

The book begins with a historical introduction to the field of bioprocess control based on artificial intelligence approaches, followed by two chapters covering the optimization of fed-batch culture using genetic algorithms. Online biomass soft-sensors are constructed in Chapter 4 using recurrent neural networks. The bioprocess is then modelled in Chapter 5 by cascading two soft-sensor neural networks. Optimization and validation of the final product are detailed in Chapters 6 and 7. The general conclusions are drawn in Chapter 8.

Keywords

Monitor algorithm algorithms artificial intelligence computer-aided design (CAD) control genetic algorithms intelligence linear optimization modeling networks neural network neural networks optimization simulation

Authors and affiliations

  • Lei Zhi Chen
    • 1
  • Xiao Dong Chen
    • 2
  • Sing Kiong Nguang
    • 3
  1. 1.Diagnostics and Control Research CentreEngineering Research Institute, Auckland University of TechnologyAucklandNew Zealand
  2. 2.Department of Chemical and Materials EngineeringThe University of AucklandAucklandNew Zealand
  3. 3.Department of Electrical and Computer EngineeringThe University of AucklandAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-32493-5
  • Copyright Information Springer 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-30634-4
  • Online ISBN 978-3-540-32493-5
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site