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Genetic Algorithms in Structure Identification for NARX Models

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Artificial Neural Nets and Genetic Algorithms

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Abstract

Genetic algorithms have been recently applied to model both linear and non-linear systems. Different methods of coding the problem solutions were proposed and were claimed to have good performance. This paper presents a comparative study of three of the methods with their strengths and weaknesses highlighted.

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References

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Authors and Affiliations

  1. School of Engineering and Advanced Technology, University of Sunderland, UK

    C. K. S. Ho, C. S. Cox & I. Fletcher

  2. EPICC, University of Teesside, UK

    I. G. French

Authors
  1. C. K. S. Ho
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  2. I. G. French
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  3. C. S. Cox
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  4. I. Fletcher
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© 1998 Springer-Verlag Wien

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Ho, C.K.S., French, I.G., Cox, C.S., Fletcher, I. (1998). Genetic Algorithms in Structure Identification for NARX Models. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_132

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  • DOI: https://doi.org/10.1007/978-3-7091-6492-1_132

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83087-1

  • Online ISBN: 978-3-7091-6492-1

  • eBook Packages: Springer Book Archive

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