1 |
Oh, S.K., and Pedrycz, W. 2004. A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization. Adv. Eng.Inform.18(Jan.2004),29-39.
DOI
|
2 |
Pedrycz, W., and Kwak, K.C. "Linguistic models as a framework of user-centric system modeling," IEEE Trans. Syst., man cybern. -PART A: Systems and humans, vol. 36, no. 4, pp. 727-745, 2006.
DOI
|
3 |
Pedrycz, W., Park, H.S., and S.K. Oh, "A granular-oriented development of functional radial basis function neural networks," Neurocomputing, vol. 72, pp. 420-435, 2008.
DOI
ScienceOn
|
4 |
W. Huang, L. Ding, S.K. Oh, C.W. Jeong, and S.C. Joo. 2010. Identification of fuzzy inference system based on information granulation. KSII Trans. Internet and Information systems. 4(4), 575-594.
|
5 |
R. Hinterding. Gaussian mutation and self-adaption for numeric genetic algorithms. 1995. IEEE international conference on evolutionary computation. 384-389.
|
6 |
W. Pedrycz, "An identification algorithm in fuzzy relational system". J. Fuzzy Sets Syst. Vol 13, pp, 153-167, 1984.
DOI
ScienceOn
|
7 |
M. Sugeno, T. Yasukawa, "Linguistic modeling based on numerical data" In: IFSA'91 Brussels, Computer, Management & System Science. pp, 264-267. 1991.
|
8 |
B. J. Park., W. Pedrycz., S. K. Oh, "Identification of Fuzzy Models with the Aid of Evolutionary Data Granulation". IEE Proc.-Control Theory and Applications, Vol. 148, pp, 406-418, 2001.
DOI
ScienceOn
|
9 |
J.N. Choi, S.K. Oh, and W. Pedrycz, "Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation", International Journal of Approximate Reasoning, Vol 49, pp, 631-648, 2008.
DOI
ScienceOn
|
10 |
Oh, S.K., Pedrycz, W., and Prak, H.S. 2003. Hybrid identification in fuzzy-neural networks. Fuzzy Set System. 138 ( Sep. 2003), 399-426.
DOI
|
11 |
Park, H.S., and Oh, S.K. 2003. Fuzzy relation-based fuzzy neural-networks using a hybrid identification algorithm. Int. J. Cont., Autom., Syst. 1 (Sep. 2003), 289-300.
|
12 |
Park, H.S., and Oh, S.K. 2003. Multi-FNN identification based on HCM clustering and evolutionary fuzzy granulation. Int. J. Cont., Autom., Syst. 1 (Jun. 2003), 194-202.
|
13 |
Oh, S.K., Pedrycz, W., and Prak, H.S. 2002. Implicit rule-based fuzzy-neural networks using the identification algorithm of hybrid scheme based on information granulation. Adv. Eng.Inform.16(Oct.2002),247-263.
DOI
|
14 |
S.K. Oh, W. Pedrycz, K.J Park, "Identification of fuzzy systems by means of genetic optimization and data granulation", Journal of Intelligent & Fuzzy Systems, Vol 18, pp. 31-41, 2007.
|
15 |
R.M. Tong, "The evaluation of fuzzy models derived from experimental data" J. Fuzzy Sets Syst. Vol. 13, pp 1-12, 1980.
|
16 |
C.W. Xu, Y. Zailu, "Fuzzy model identification self learning for dynamic system" J. IEEE Trans. on System, Man, and Cybernetics. Vol. 17(4), pp, 683-689, 1987.
DOI
|
17 |
S.K. Oh., W. Pedrycz, "Identification of Fuzzy Systems by means of an Auto-Tuning Algorithm and Its Application to Nonlinear Systems" J. Fuzzy Sets and Syst. Vol 115(2), pp, 205-230, 2000.
DOI
ScienceOn
|