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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
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- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.7 No.4
- 발행연도
- 2007.12
- 수록면
- 236 - 241 (6page)
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초록· 키워드
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This paper presents an adaptive controller using chaotic dynamic neural networks(CDNN) for nonlinear dynamic system. A new dynamic backpropagation learning method of the proposed chaotic dynamic neural networks is developed for efficient learning, and this learning method includes the convergence for improving the stability of chaotic neural networks. The proposed CDNN is applied to the system identification of chaotic system and the adaptive controller. The simulation results show good performances in the identification of Lorenz equation and the adaptive control of nonlinear system, since the CDNN has the fast learning characteristics and the robust adaptability to nonlinear dynamic system.
목차
Abstract
1. Introduction
2. Dynamic Backpropagation Learning of CDNN
3. Simulation results with CDNN
4. Conclusion
References
참고문헌 (7)
참고문헌 신청
1. [학술지(정기간행물)] - / 1972. / On response characteristics of a mathematical neuron model 10 : 155 ~ 164
2. [학술지(정기간행물)] - / 1995. / Chaotic simulated annealing by a neural network model with transient chaos 8 (6) : 915 ~ 930
3. [학술지(정기간행물)] - / 1999. / Global Searching Ablity of Chaotic Neural Networks 46 (8) : 974 ~ 993
4. [학술지(정기간행물)] - / 1991. / Gradient methods for optimization of dynamical systems containing neural networks 2 : 252 ~ 262
5. [학술지(정기간행물)] - / / Nonlinear System
2. [학술지(정기간행물)] - / 1995. / Chaotic simulated annealing by a neural network model with transient chaos 8 (6) : 915 ~ 930
3. [학술지(정기간행물)] - / 1999. / Global Searching Ablity of Chaotic Neural Networks 46 (8) : 974 ~ 993
4. [학술지(정기간행물)] - / 1991. / Gradient methods for optimization of dynamical systems containing neural networks 2 : 252 ~ 262
5. [학술지(정기간행물)] - / / Nonlinear System
함께 읽어보면 좋을 논문
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UCI(KEPA) : I410-ECN-0101-2009-028-014860105