Advertisement

Genetic Algorithms in Structure Identification for NARX Models

  • C. K. S. Ho
  • I. G. French
  • C. S. Cox
  • I. Fletcher
Conference paper

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.

Keywords

Genetic Algorithm Hill Climber String Length Genetic Search NARX Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    J.E. Baker. Adaptive Selection Methods for Genetic Algorithms. In J.J. Grefenstette (editor), Proceedings ICGA’85, pages 101–111, Lawrence Erlbaum Associates, 1985.Google Scholar
  2. [2]
    C.M. Fonseca, E.M. Mendes, P.J. Fleming, and S.A. Billings. Non-linear model term selection with genetic algorithms. Technical report, University of Sheffield, 1993.Google Scholar
  3. [3]
    C.K.S. Ho. Tree structured GA in system identification. Technical report, University of Sunderland, 1995.Google Scholar
  4. [4]
    C.J. Li and Y.C. Jeon. Genetic algorithms in identifying nonlinear auto regressive with exogenous inputs models for nonlinear systems. In Proc. Am Control Conf., pages 2305–2309. IEEE Press, 1993.Google Scholar
  5. [5]
    B. McKay, M.J. Willis, and G.W. Barton. Using a tree structured genetic algorithm to perform symbolic regression. In GALESIA’95, pages 487–492. IEE, 1995.Google Scholar
  6. [6]
    M.C. South. The Application of Genetic Algorithms to Rule Finding in Data Analysis. PhD thesis, University of Newcastle upon Tyne, UK. 1994.Google Scholar
  7. [7]
    P. Young. Recursive Estimation and Time-series Analysis. Springer-Verlag, New York, 1984.MATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • C. K. S. Ho
    • 1
  • I. G. French
    • 2
  • C. S. Cox
    • 1
  • I. Fletcher
    • 1
  1. 1.School of Engineering and Advanced TechnologyUniversity of SunderlandUK
  2. 2.EPICCUniversity of TeessideUK

Personalised recommendations