Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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The Modeling of Chaotic Nonlinear Systems Using Wavelet Neural Networks

웨이블렛 신경 회로망을 이용한 혼돈 비선형 시스템의 모델링

  • Park, Sang-Woo (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Choi, Jong-Tae (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Yoon, Tae-Sung (Dept. of Electrical & Electronic Engineering, Changwon Univ.) ;
  • Park, Jin-Bae (Dept. of Electrical & Electronic Engineering, Yonsei Univ.) ;
  • Choi, Yoon-Ho (Dept. of Electronic Engineering, Kyunggi Univ.)
  • 박상우 (연세대학교 전기전자공학과) ;
  • 최종태 (연세대학교 전기전자공학과) ;
  • 윤태성 (창원대학교 전기공학과) ;
  • 박진배 (연세대학교 전기전자공학과) ;
  • 최윤호 (경기대학교 전자공학과)
  • Published : 2002.07.10
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Abstract

In this paper, we propose the modeling of a chaotic nonlinear system using wavelet neural networks. In our modeling, we used the parameter adjusting method as the training method of a wavelet neural network. The difference between the actual output of a nonlinear chaotic system and that of a wavelet neural network adjusts the parameters of a wavelet neural network using the gradient-descent method. To verify the efficiency of this paper, we perform the simulation using Duffing system, which is a representative continuous time chaotic nonlinear system.

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