Modeling of Chaotic Systems Using a DNA Coding Based Wavelet Neural Network

DNA 코딩 기반 웨이블릿 신경 회로망을 이용한 혼돈 시스템의 모델링

  • You, Sung-Jin (Dept. of Electrical & Electronic Engineering, Yonsei University) ;
  • Choi, Yoon-Ho (School of Electronic Engineering, Kyonggi University) ;
  • Park, Jin-Bae (Dept. of Electrical & Electronic Engineering, Yonsei University)
  • 유성진 (연세대학교 전기전자공학과) ;
  • 최윤호 (경기대학교 전자공학부) ;
  • 박진배 (연세대학교 전기전자공학과)
  • Published : 2003.07.21

Abstract

This paper presents the intelligent modeling method of chaotic systems using a DNA coding based wavelet neural network(WNN). Generally the mathematical teaming method such as gradient descent method is used to adjust the parameters of WNN, which has much computational cost. To overcome this kind of problem, we use the DNA coding method as the learning method of WNN, and then combine it with the WNN. Finally, to verify the efficiency of our method, we apply the proposed DNA coding based wavelet neural network for modeling of Duffing system, which is a representative continuous-time chaotic system.

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