1 |
R.M. Tong, "The evaluation of fuzzy models derived from experimental data," J . Fuzzy Sets and Syst., vol. 13, pp. 1-12, 1980.
|
2 |
C.W. Xu, Y. Zailu, "Fuzzy model identification self learning for dynamic system," J. IEEE Trans. on System, Man, and Cybernetics, vol. 17, no. 4, pp. 683-689, 1987.
DOI
|
3 |
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, no. 2, pp. 205-230, 2000.
DOI
ScienceOn
|
4 |
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.
|
5 |
F. Herrera, "Genetic fuzzy stystems: taxonomy, current research trends, and prospects," Evol. Intel., vol 1, pp. 27-46, 2008.
DOI
|
6 |
R. Storn, K. V. Price, "Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces," Global Optim., vol. 11, pp. 341-359, 1997.
DOI
ScienceOn
|
7 |
G. Wenyin, C. Zhihua, J. Liangxiao, "Enhancing the performance of differential evolution using orthogonal design method," Applied Mathematics and Computation, vol. 206, pp. 56-69, 2008.
DOI
|
8 |
Q.Zhang, Y.W.Leung, "Orthogonal genetic algorithm for multimedia multicast routing," IEEE Transactions on Evolutionary Computation, vol. 3, pp. 53-62, 1999.
DOI
|
9 |
A.K. Qin, V.L.Huang, P.N. Suganthan. "Differential evolution algorithm with strategy adaptation for global numerical optimization," IEEE Transactions on Evolutionary Computation, vol. 13, pp. 398-417, 2009.
DOI
|
10 |
W. Huang, L. Ding, S.K. Oh, C.W. Jeong, and S.C. Joo. "Identification of fuzzy inference system based on information granulation," KSII Transactions on Internet and Information systems, vol. 4, pp. 575-594, 2010.
과학기술학회마을
|
11 |
W. Huang, S.K. Oh, L. Ding, H.K. Kim, S.C. Joo, "Identification of fuzzy inference systems using a multi-objective space search algorithm and in formation granulation," Journal of Electrical Engineering & Technology, vol. 6, pp. 853-866, 2011.
DOI
|
12 |
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
ScienceOn
|
13 |
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
|
14 |
S. K. Oh, W. Pedrycz, and B. J. Park, "Relationbased Neurofuzzy Networks with Evolutionary Data Granulation," Mathematical and Computer Modeling, vol. 40, no. 7-8, pp. 891-921, 2004.
DOI
|
15 |
W. Pedrycz and K. C. Kwak, "The Development of Incremental Models," IEEE Trans. Fuzzy Systems, vol. 15, no. 3, pp. 507-518, 2007.
DOI
ScienceOn
|
16 |
S. K. Oh and W. Pedrycz, "Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks," Int. J . of General Systems, vol. 32, no. 3, pp. 237-250, 2003.
DOI
|
17 |
S. K. Oh, H. S. Park, C. W. Jeong, and S. C. Joo, "GA-based Feed-forward Self-organizing Neural Network Architecture and Its Applications for Multi-variable Nonlinear Process Systems," KSII Transactions on Internet and Information Systems, vol. 3, no. 3, pp. 309-330, Jun, 2009.
과학기술학회마을
DOI
ScienceOn
|