1 |
L. A. Zadeh, in: L.A. Zadeh, R. Yager, et al., (Eds.), Fuzzy Sets and Applications: Selected Papers, Wiley, New York, 1987
|
2 |
R. Moore, Interval analysis, Prentice-Hall, Englewood Cliffs, NJ, 1966.
|
3 |
R. Moore (Ed.), Reliability in Computing, Academic Press, New York, 1988
|
4 |
Holland, J. H., Adaptation In Natural and Artificial Systems, The University of Michigan Press, Ann Arbour. 1975
|
5 |
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, pp. 179-188, 1999
DOI
ScienceOn
|
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 |
K. De Jong. Are genetic algorithms function optimizers? In Proc. of PPSN II (Parallel Problem Solving from Nature), pages 3-13, Amsterdam, North Holland, 1992
|
8 |
E. T. Kim, et al, 'A simple identified Sugeno-type fuzzy model via double clustering', Information Science, Vol. 110, pp. 25-39, 1998
DOI
ScienceOn
|
9 |
S. K. Oh and W. Pedrycz, 'The design of self-organizing Polynomial Neural Networks', Information Science, Vol. 141, pp. 237-258, 2002
DOI
ScienceOn
|
10 |
박호성, 오성권, 윤양웅, '퍼지 뉴럴 네트워크 구조로의 새로운 모델링 연구', 제어·자동화·시스템 공학회, Vol. 7, No.8, pp. 664-673, 2001. 8
과학기술학회마을
|
11 |
J. Q. Chen, Y. G. Xi, and Z,J. Zhang, 'A clustering algorithm for fuzzy model identification', Fuzzy Sets and Systems, Vol. 98, pp, 319-329, 1998
DOI
ScienceOn
|
12 |
J. C. BEZDEK, Pattern Recognition with Fuzzy Objective Function Algorithms, New York, Plenum, 1981
|
13 |
A. G. Ivakhnenko, 'Polynomial theory of complex systems', IEEE Trans. on Systems, Man and Cybernetics, Vol. SMC-1, pp. 364-278, 1971
|
14 |
W. Pedrycz, Fuzzy system development: software methodology and design tools, Int. Handbook of Fuzzy Sets and Possibility Theory, Kluwer Academic Publishers, in press
|
15 |
M. Sugeno and T. Yasukawa, 'A Fuzzy-Logie-Based Approach to Qualitative Modeling', IEEE Trans. Fuzzy Systems, Vol. 1, No.1, pp. 7-31, 1993
DOI
ScienceOn
|
16 |
W. Pedrycz, J. F. Peters, Computational Intelligence and Software Engineering, World Scientific, Singapore, 1998
|
17 |
J. Leski and E. Czogala, 'A new artificial neural networks based fuzzy inference system with moving consequents in if-then rules and selected applications', Fuzzy Sets and Systems, Vol. 108, pp. 289-297, 1999
DOI
ScienceOn
|
18 |
W. Pedrycz, G. Vukovich, 'Granular neural networks', Neurocomputing, Vol. 36, pp. 205-224. 2001
DOI
ScienceOn
|
19 |
W. Pedrycz, 'An identification algorithm in fuzzy relational system', Fuzzy Sets Syst., Vol. 13, pp, 153-167, 1984
DOI
ScienceOn
|
20 |
D. E. Box and G. M. Jenkins, Time Series Analysis, Forcasting and Control, California : Holden Day, 1976
|
21 |
D. W. Kim, S. K. Oh, and H. K. Kim, 'A Study on the Self-organizing Fuzzy Polynomial Neural Networks', J. of Korean Institute of Electrical Engineers, Vol. 11, No.2, pp. 79-89, Jun., 2001
|
22 |
S. K. Oh, W. Pedrycz and H. S. Park, 'Genetically Optimized Multi-layer Fuzzy Polynomial Neural Networks: Analysis and Design', Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 10, No.1, pp. 1-15, 2006
|
23 |
H. S. Park and S. K. Oh, 'Fuzzy Relation-based Fuzzy Neural-Networks Using a Hybrid Identification Algorithm', International Journal of Control, Automation, and Systems, Vol. 1, No.3, pp. 289-300, Sept., 2003
과학기술학회마을
|
24 |
G. Vachtsevanos, V. Ramani and T. W. Hwang, 'Prediction of Gas Turbine NOx Emissions using Polynomial Neural Network', Technical Report, Georgia Institute of Technology, Atlanta, 1995
|
25 |
S. K. Oh, W. Pedrycz and H. S. Park, 'Hybrid Identification in Fuzzy-Neural Networks', Fuzzy Sets and Systems, Vol. 138, Issue 2, pp. 399-426, 2003
DOI
ScienceOn
|
26 |
S. K. Oh, D. W. Kim, B. J. Park, and H. S. Hwang, 'Advanced Polynomial Neural Networks Architecture with New Adaptive Nodes', Transactions on Control, Automation and Systems Engineering, Vol. 3, No.1, pp. 43-50, March, 2001
|
27 |
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, pp. 179-188, 1999
DOI
ScienceOn
|
28 |
Y. Lin, G. A. Cunningham III, 'A new approach to fuzzy-neural modeling', IEEE Trans. Fuzzy Systems, Vol.3, No. 2, pp. 190-197, 1995
DOI
ScienceOn
|
29 |
H. S. Park and S. K. Oh, 'Multi-FNN Identification Based on HCM Clustering and Evolutionary Fuzzy Granulation', International journal of Control, Automations, and Systems, Vol. 1, No.2, pp. 194-202, June, 2003
과학기술학회마을
|
30 |
S. K. Oh, W. Pedrycz and H. S. Park, 'Implicit Rule-based Fuzzy-Neural Networks Using the Identification Algorithm of GA Hybrid Scheme Based on Information Granulation', Advanced Engineering Informatics, Vol. 16, No.4, pp 247-263, Oct. 2002
DOI
ScienceOn
|
31 |
S. K. Oh, W. Pedrycz, and D. W. Kim, 'Hybrid Fuzzy Polynomial Neural Networks', Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 10, No. 3, pp. 257-280, June, 2002
DOI
ScienceOn
|