Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Fuzzy Neural Network Model Using A Learning Rule Considering the Distances Between Classes

클래스간의 거리를 고려한 학습법칙을 사용한 퍼지 신경회로망 모델

  • 김용수 (대전대학교 컴퓨터공학과) ;
  • 백용선 (대덕대학 컴퓨터웹정보과) ;
  • 이세열 (청운대학교 컴퓨터학과)
  • Published : 2006.08.01
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Abstract

This paper presents a new fuzzy learning rule which considers the Euclidean distances between the input vector and the prototypes of classes. The new fuzzy learning rule is integrated into the supervised IAFC neural network 4. This neural network is stable and plastic. We used iris data to compare the performance of the supervised IAFC neural network 4 with the performances of back propagation neural network and LVQ algorithm.

본 논문은 입력 벡터와 클래스들의 대표값들간의 유클리디안 거리들을 사용한 새로운 퍼지 학습법칙을 제안한다. 이 새로운 퍼지 학습을 supervised IAFC(Integrated Adaptive Fuzzy Clustering) 신경회로망 4에 적용하였다. 이 신경회로망은 안정성을 유지하면서도 유연성을 가지고 있다. iris 데이터를 사용하여 테스트한 결과 supervised IAFC 신경회로망 4는 오류역전파 신경회로망과 LVQ 알고리듬보다 성능이 우수하였다.

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References

  1. T. Kohonen, 'Self-Organizing Map,' Proceedings of the IEEE, vol. 78, No.9, pp. 1464-1480, 1990 https://doi.org/10.1109/5.58325
  2. C.-T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, Prentice-Hall, 1996
  3. J. C. Bezdek, E. C. Tsao, and N. R. Pal, 'Fuzzy Clustering Networks,' Proceedings of the First IEEE Conference on Fuzzy Systems, San Diego, pp. 1035-1043, 1992
  4. F.-L. Chung and T. Lee, 'Fuzzy Learning Vector Quantization,' Proceedings of 1993 International Joint Conference on Neural Networks., Nagoya, Vol. 3, pp. 2739-2743, 1993
  5. N. B. Karayiannis and J. C. Bezdek, 'An Integrated Approach to Fuzzy Learning Vector Quantization and Fuzzy c-Means Clustering,' IEEE Transactions on Fuzzy Systems, Vol. 2, pp. 622-628, 1997
  6. B. Kusumoputro, M. R. Widyanto, M. I. Fanany, and H. Budiarto, 'Improvement of Artificial Odor Discrimination System Using Fuzzy-LVQ Neural Network,' Proceedings of the third International Conference on Computational Intelligence and Multimedia Applications, pp. 474-478, 1999
  7. Y. Kim and Z. Bien, 'Integrated Adaptive Fuzzy Clustering(IAFC) Neural Networks Using Fuzzy Learning Rules,' Iranian Journal of Fuzzy System, Vol. 2, No.2, pp. 1-13, 2005
  8. 김용수, '비대칭 퍼지 학습률을 이용한 퍼지 신경회로망 모델,' 퍼지 및 지능 시스템 학회 논문지. 제 15권, 제7호, pp. 800-804, 2005
  9. G. A. Carpenter and S. Grossberg, 'A Massively Parallel Architecture for Self-Organizing Neural Pattern Recognition Machine,' Compute Vision, Graphics, and Image Processing, Vol. 37, pp. 54-115, 1987 https://doi.org/10.1016/S0734-189X(87)80014-2
  10. B. Moore, 'Art-1 and Pattern Clustering,' Proceedings of the 1988 Connectionist Models Summer School, pp. 174-185, 1989