Genetic Algorithms in Structure Identification for NARX Models

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


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.


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.


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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

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