Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

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

DNA 코딩 기법을 이용한 웨이브렛 기반 퍼지 모델링

  • 주영훈 (군산대학교 전자정보공학부) ;
  • 이영우 (군산대학교 전자정보공학부) ;
  • 유진영 (군산대학교 전자정보공학부)
  • Published : 2003.12.01
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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 information based on the biological DNA. The proposed method makes a fuzzy model by using the wavelet transform, in which coefficients are identified by the DNA coding method. Thus we can effectively get the fuzzy model of 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 the GA.

본 논문에서는 DNA 코딩 방법을 이용하여 새로운 웨이블렛 기반 퍼지 모델링 방법을 제안한다. DNA 코딩 방법은 기존의 유전 알고리즘에 비해 지식 표현에 있어서 더 다양하고, 최적화 수행에 있어서 더 좋다고 알려져 있다 그 이유는 DNA 코딩 방법은 생물학적 DNA에 기반하여 더 풍부한 유전 정보를 암호화할 수 있기 때문이다. 제안한 방법은 웨이블렛 변환 기법을 사용함으로써 퍼지 모델을 생성한다. 여기서, 계수들은 DNA 코딩 방법을 이용하여 동정된다. 즉, 웨이블렛 변환과 DNA 코딩 방법의 장점들을 사용함으로써 더 좋은 퍼지 모델을 생성한다. 제안된 방법의 우수성을 증명하기 위해서 기존지 유전알고리즘과 그 결과를 비교한다.

Keywords

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