1 |
고택범, 이덕규, "감수분열 유전알고리즘을 이용한 퍼지 모델의 자동 설계" 대한전기학회 학술회의 논문집, pp.2696-2698, 2000
|
2 |
박호성, 오성권, 윤양웅, "퍼지 뉴럴 네트워크 구조로의 새로운 모델링 연구" 제어.자동화.시스템 공학 논문지, 제7권, 제8호, pp.664-674, 2001
과학기술학회마을
|
3 |
S. K. Oh and K. C. Yoon and H. K. Kim, "The design of optimal Fuzzy-Neural networks architecture by means of GA and an aggregate weighted performance index", Journal of Control, Automation and Systems Engineering, vol.6, no.3, Mar., 2000
|
4 |
L. Ljung, System Identification: Theory for the User. Englewood Cliffs. NJ: Prentice-Hall, 1987
|
5 |
M. C. Mackey and L. Glass, "Oscillation and chaos in physiological control systems," Science, 197 : 287-289, July, 1977
DOI
|
6 |
S. K. Oh and W.Pedrycz, "Identification of fuzzy systems by means of an Auto-Tuning algorithm and its application to nonlinear systems", Fuzzy Sets and Systems, vol.115, no.2, pp.205-230, 2000
DOI
ScienceOn
|
7 |
E. Kim, M. Park, S. Ji and M. Park, "A new approach to fuzzy modeling," IEEE Trans. Fuzzy Syst., vol.5, no.3, pp.328-337, 1997
DOI
ScienceOn
|
8 |
Y. Lin and G. A. Cunningham III, "A new approach to fuzzy-neural modeling," IEEE Trans. Fuzzy Sets Syst., vol. 45, pp.136-156, 1995.
|
9 |
J. C. Bezdek, Pattem Recognition with Fuzzy Objective Functional Algorithm. New York: Plenum, 1981
|
10 |
G. E. P. Box and G. M. Jenkins, Time Series Analysis, Forecasting and Control. San Francisco, CA: Holden Day, 1970
|
11 |
박병준, 오성권, 장성환, "퍼지뉴럴 네트워크와 자기구성 네트워크에 기초한 적응 퍼지 다항식 뉴럴네트워크 구조의 설계" 제어.자동화. 시스템 공학논문지, 제8권, 제2호, pp.126-135 , 2002
과학기술학회마을
DOI
ScienceOn
|
12 |
S. K. Oh, D. W. Kim, B. J. Park and H. S. Hwang, "Advanced polynomial neural networks architecture with new adaptive nodes," Trans. on Control, Automation and Systems Engineering, vol.3, no.1, Mar., 2001
|
13 |
M.Sugeno and T. Yasukawa, "A fuzzy-Iogic-based approach to qualitative modeling," IEEE Trans. on Fuzzy Systems, vol.1, no.1, pp.7-31, Feb., 1993
DOI
ScienceOn
|
14 |
S. -J. Kang, C. -H. Woo, H. -S. Hwang and K. B. Woo, "Evolutionary design of fuzzy rule base for nonlinear system modeling and control," IEEE Trans. Fuzzy Sets Syst., vol. 8, pp.37-45, 2000
DOI
ScienceOn
|
15 |
E. Kim, H. lee, M. Park, and M. Park, "A simple identified Sugeno-type fuzzy model via double clustering," Information Sciences 110, 25-39, 1998
DOI
ScienceOn
|
16 |
B. Kosko, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence. Englewood Cliffs. NJ: Prentice-Hall, 1992
|
17 |
A. F. Gomez-Skarmeta, M. Delgado, and M. A. Vila, "About the use of fuzzy clustering techniques for fuzzy model identification," Fuzzy Sets and Systems, vol. 106, 179-188, 1999
DOI
ScienceOn
|
18 |
L. X. Wang and J. M. Mendel, "Generating fuzzy rules from numerical data, with application," IEEE Trans. on Systems, Man, and Cybern., 22 no. 6, pp.1414-1427, 1992
DOI
ScienceOn
|
19 |
T. Takagi and M. Sugeno, "Fuzzy identification of systems and its application to modeling and control," IEEE Trans. on Syst., Man & Cybem., vol.15, pp.116-132, 1985
|