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Using Chaos Theory for the Genetic Learning of Fuzzy Controllers

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Innovations in Applied Artificial Intelligence (IEA/AIE 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3029))

Abstract

This paper describes a study we have undertaken in the field of intelligent, hybrid systems. The system presented, which is basically a control system, applies ideas from the fields of fuzzy logic, genetic algorithms, and chaos theory. The system is fully implemented using the Delphi programming language. First results produced by the system are encouraging in our view.

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References

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Author information

Authors and Affiliations

  1. Faculty of Engineering, School of Computing and Mathematics, University of Ulster, Shore Road, Newtownabbey, Co, Antrim, BT37 0QB, Northern Ireland

    Alfons Schuster

Authors
  1. Alfons Schuster
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Editor information

Editors and Affiliations

  1. Institute for Information Technology, National Research Council of Canada, 1200 Montreal Read, M-50, K1A 0R6, Ottawa, Ontario, Canada

    Bob Orchard

  2. Institute for Information Technology, National Research Council, Canada

    Chunsheng Yang

  3. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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© 2004 Springer-Verlag Berlin Heidelberg

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Schuster, A. (2004). Using Chaos Theory for the Genetic Learning of Fuzzy Controllers. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_40

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  • DOI: https://doi.org/10.1007/978-3-540-24677-0_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22007-7

  • Online ISBN: 978-3-540-24677-0

  • eBook Packages: Springer Book Archive

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