International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Wavelet-Based Fuzzy Modeling Using a DNA Coding Method

  • Joo, Young-Hoon (School of Electronic ＆ Information Eng, Kunsan National University) ;
  • Lee, Veun-Woo (School of Electronic ＆ Information Eng, Kunsan National University)
  • Published : 2003.06.01
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Abstract

In this paper, we propose a new wavelet-based fuzzy modeling using a DNA coding method. Generally, it is well known that the DNA coding method is more diverse in the knowledge expression and better in the optimization performance than the genetic algorithm (GA) because it can encode more plentiful genetic informations based on the biological DNA. The proposed method can construct a fuzzy model using the wavelet transform, in which the coefficients are identified by the DNA coding method. Thus, we can effectively get the fuzzy model of the nonlinear system by using the advantages of both wavelet transform and DNA coding method. In order to demonstrate the superiority of the proposed method, it is compared with modeling method using the conventional GA.

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References

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