(논문) G-K 클러스터링을 이용한 뉴로-퍼지 모델링

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(논문) G-K 클러스터링을 이용한 뉴로-퍼지 모델링에 대한 보고서 자료입니다.

목차

I. 서 론

II. 본 론
1. 퍼지 논리
(1) 퍼지 시스템
(2) 규칙 기반 퍼지 모델
(3) 퍼지 IF-THEN 규칙
(4) 퍼지 관계
2. 신경회로망
3. 뉴로 퍼지 모델
4. FCM 클러스터링
5. 공분산 행렬과 퍼지 공분산 행렬
6. Gustafson-Kessel 클러스터링 알고리즘
7. 제안된 뉴로-퍼지 시스템

III. 시뮬레이션 및 결과

IV. 결 론

V. 참 고 문 헌

본문내용

와 비교하여 큰 차이가 나지 않는 것으로 보아, 과적합 문제를 상당 부분 해소했다는 것이 본 논문에서 제안된 뉴로-퍼지 모델의 큰 장점 중 하나라 할 수 있을 것이다.
V. 참 고 문 헌
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[7]S. K. Oh, Witold Pedrycz, "Identification of Fuzzy Systems by means of an auto-tuning algorithm and its application to nonlinear systems", Fuzzy Sets and Systems, Vol. 115, pp. 205-230, 2000.
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[9]W. S. McCulloch and W. H. Pitts, "A logical calculus for the ideas immanent in nervous activity", Bulletin of Mathematical Biophysics, vol. 5, pp. 115-133, 1943.
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[11]D. O. Hebb, The Organization of Behavior, John Wiley, Newyork, NY, 1949.
[12]F. Rosenblatt, "The perception, a probabilistic model for information storage and organization in the brain", Psychol, Rev., vol. 65, pp. 368-408, 1958.
[13]L.A. Zadeh, "Outline of a New Approach to the Analysis of Complex Systems and Decision Process", IEEE Trans. Systems, Man and Cybernetics, SMC-3-1, pp. 28-44, 1973.
[14]E.H. Mamdani, "Application of fuzzy logic to approximate reasoning using linguistic systems", Fuzzy Sets and Systems 26, pp. 1182-1191, 1977.
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[16]J.-S.R. Jang, C.-T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, Prentice Hall, 1997.
[17]Kazuo Tanaka, Hua O. Wang, Fuzzy Control Systems Design and Analysis, Wiley Interscience, 2001.
[18]Chin-Teng Lin, C.S. George Lee, Neural Fuzzy Systems, Prentice Hall, 1996.
[19]Bezdek, J.C., Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, Newyork, 1981.
[20]Bezdek, J.C., R.J. Hathaway, M.J. Sabin and W.T. Tucker, "Convergence theory for fuzzy c-means: counterexamples and repairs.", IEEE Trans. Systems, Man and Cybernetics. 17, pp. 873-877, 1987.
[21]진영강, 랜덤변수와 랜덤과정, 청문각, 2001.

키워드

G-K 클러스터링,   뉴로퍼지,   뉴로,   퍼지,   모델링,   클러스터링