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http://dx.doi.org/10.5391/IJFIS.2003.3.1.121

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)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.3, no.1, 2003 , pp. 121-126 More about this Journal
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.
Keywords
DNA coding; fuzzy modeling; genetic algorithm; wavelet transform;
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