Skip to main content
SpringerLink
Log in
Book cover

Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control

  • Book
  • © 2009

Overview

Editors:
  1. Maria Carmo Nicoletti

    1. CS Department, Universidade Federal de S. Carlos, S. Carlos, Brazil

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Lakhmi C. Jain

    1. School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Latest research on the computational intelligence techniques for bioprocess, modelling, and control

Part of the book series: Studies in Computational Intelligence (SCI, volume 218)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

  1. Front Matter

    Download chapter PDF

  2. Computational Intelligence Techniques as Tools for Bioprocess Modelling, Optimization, Supervision and Control

    • M. C. Nicoletti, L. C. Jain, R. C. Giordano
    Pages 1-23

  3. Software Sensors and Their Applications in Bioprocess

    • Hongwei Zhang
    Pages 25-56

  4. Monitoring of Bioprocesses: Mechanistic and Data-Driven Approaches

    • Laurent Dewasme, Philippe Bogaerts, Alain Vande Wouwer
    Pages 57-97

  5. Novel Computational Methods for Modeling and Control in Chemical and Biochemical Process Systems

    • Petia Georgieva, Sebastião Feyo de Azevedo
    Pages 99-125

  6. Computational Intelligence Techniques for Supervision and Diagnosis of Biological Wastewater Treatment Systems

    • Ana M. A. Dias, Eugénio C. Ferreira
    Pages 127-162

  7. Multiobjective Genetic Algorithms for the Optimisation of Wastewater Treatment Processes

    • Benoît Beraud, Cyrille Lemoine, Jean-Philippe Steyer
    Pages 163-195

  8. Data Reconciliation Using Neural Networks for the Determination of KLa

    • Nilesh Patel, Jules Thibault
    Pages 197-214

  9. A Computational Intelligent Based Approach for the Development of a Minimal Defined Medium: Application to Human Interleukin-3 Production by Streptomyces lividans 66

    • Keyvan Nowruzi, Ali Elkamel, Jeno M. Scharer, Murray Moo-Young
    Pages 215-236

  10. Bioprocess Modelling for Learning Model Predictive Control (L-MPC)

    • María Antonieta Alvarez, Stuart M. Stocks, S. Bay Jørgensen
    Pages 237-280

  11. Performance Monitoring and Batch to Batch Control of Biotechnological Processes

    • Julian Morris, Jie Zhang
    Pages 281-310

  12. Modelling of Biotechnological Processes – An Approach Based on Artificial Neural Networks

    • Eduardo Valente, Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha
    Pages 311-332

  13. Back Matter

    Download chapter PDF
Back to top

Keywords

About this book

Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.

Editors and Affiliations

  • CS Department, Universidade Federal de S. Carlos, S. Carlos, Brazil

    Maria Carmo Nicoletti

  • School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation