Constructive Methods of Fuzzy Rules for Function Approximation

  • Maeda, Michiharu (Department of Control and Information Systems Engineering Kurume National College of Technology) ;
  • Miyajima, Hiromi (Department of Electrical and Electronics Engineering, Faculty of Engineering)
  • 발행 : 2002.07.01

초록

This paper describes novel methods to construct fuzzy inference rules with gradient descent. The present methods have a constructive mechanism of the rule unit that is applicable in two parameters: the central value and the width of the membership function in the antecedent part. The first approach is to create the rule unit at the nearest position from the input space, for the central value of the membership function in the antecedent part. The second is to create the rule unit which has the minimum width, for the width of the membership function in the antecedent part. Experimental results are presented in order to show that the proposed methods are effective in difference on the inference error and the number of learning iterations.

키워드