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

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Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control

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

Abstract

This is an introductory chapter that presents a general review of some Computational Intelligence (CI) techniques used today, both in the biotechnology industry and in academic research. Various applications in bioprocess-related tasks are presented and discussed. The aim of putting forth a surveying view of the main tendencies in this field is to provide a broad panorama of the research in the intersection between the two areas, to highlight the popularity of a few CI techniques in Bioprocess applications and to discuss the potential benefits that other not so explored CI techniques could offer.

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Authors and Affiliations

  1. Computer Science Dept., Universidade Federal de S. Carlos (UFSCar, Rod. Washington Luiz, km 235, Caixa Postal 676, 13565-905, S. Carlos, SP, Brazil

    M. C. Nicoletti

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

    L. C. Jain

  3. Chemical Engineering Dept., Universidade Federal de S. Carlos (UFSCar, Rod. Washington Luiz, km 235, Caixa Postal 676, 13565-905, S. Carlos, SP, Brazil

    R. C. Giordano

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  1. M. C. Nicoletti
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  2. L. C. Jain
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  3. R. C. Giordano
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  1. CS Department, Universidade Federal de S. Carlos, Rod.Washington Luiz, km235, Caixa Postal 676, 13565-905, S. Carlos, SP, Brazil

    Maria do Carmo Nicoletti

  2. School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus, 5095, Adelaide, SA, Australia

    Lakhmi C. Jain

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Nicoletti, M.C., Jain, L.C., Giordano, R.C. (2009). Computational Intelligence Techniques as Tools for Bioprocess Modelling, Optimization, Supervision and Control. In: do Carmo Nicoletti, M., Jain, L.C. (eds) Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control. Studies in Computational Intelligence, vol 218. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01888-6_1

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