-
1
-
-
0027601884
-
ANFIS: Adaptative-Network-Based Fuzzy Inference System
-
May/Jun
-
Jang, J.S.Roger, "ANFIS: Adaptative-Network-Based Fuzzy Inference System", IEEE Trans. on System, Man and Cybern 23 (3) pp.665-685 (May/Jun, 1993).
-
(1993)
IEEE Trans. on System, Man and Cybern
, vol.23
, Issue.3
, pp. 665-685
-
-
Jang, J.S.R.1
-
8
-
-
0030368562
-
Generating Fuzzy Rule -based Systems from Exemples
-
dec
-
Chang, T.M.; Yih, Y. "Generating Fuzzy Rule -based Systems from Exemples", Asian Fuzzy Systems Symposium, Proc. of IEEE, p. 37-42, dec 1996.
-
(1996)
Asian Fuzzy Systems Symposium, Proc. of IEEE
, pp. 37-42
-
-
Chang, T.M.1
Yih, Y.2
-
9
-
-
0027851250
-
Function Approximator Using Fuzzy Rules Extracted Directly from Numerical Data
-
Shigeo Abe and Ming-Shong Lan: Function Approximator Using Fuzzy Rules Extracted Directly from Numerical Data. Proc. of the IEEE Int. Joint Conf. on Neural Networks Vol. 2, pp1887-1892. 1993.
-
(1993)
Proc. of the IEEE Int. Joint Conf. on Neural Networks
, vol.2
, pp. 1887-1892
-
-
Abe, S.1
Lan, M.-S.2
-
12
-
-
0002019319
-
Genetic Algorithms for Learning the Rule Base of Fuzzy Logic Controller
-
T.C. Chin and X.M. Qi: Genetic Algorithms for Learning the Rule Base of Fuzzy Logic Controller. Fuzzy Sets and Systems, Vol. 97, n 1, pp 1-7, 1998.
-
(1998)
Fuzzy Sets and Systems
, vol.97
, Issue.1
, pp. 1-7
-
-
Chin, T.C.1
Qi, X.M.2
-
13
-
-
0032155391
-
Autogeneration of Fuzzy Rules and Membership Functions for Fuzzy Modelling Using Rough Set Theory
-
Y. Cho and K. Lee and J. Yoo and M. Park: Autogeneration of Fuzzy Rules and Membership Functions for Fuzzy Modelling Using Rough Set Theory. IEE Proc.: Control Theory and Applications, Vol. 145, n 5, pp 437-442, 1998.
-
(1998)
IEE Proc.: Control Theory and Applications
, vol.145
, Issue.5
, pp. 437-442
-
-
Cho, Y.1
Lee, K.2
Yoo, J.3
Park, M.4
-
17
-
-
0027316584
-
Gradient Descent Method for Optimizing Various Fuzzy Rule Bases
-
François Guély and Patrick Siarry: Gradient Descent Method for Optimizing Various Fuzzy Rule Bases. Proc. 2nd IEEE Int. Conf. on Fuzzy Systems, pp 1241-1246, 1993.
-
(1993)
Proc. 2nd IEEE Int. Conf. on Fuzzy Systems
, pp. 1241-1246
-
-
Guély, F.1
Siarry, P.2
-
19
-
-
0030289773
-
Induction of Fuzzy Rules and Membership Functions from Training Examples
-
Tzung-Pei Hong and Chai-Ying Lee: Induction of Fuzzy Rules and Membership Functions from Training Examples. Fuzzy Sets and Systems, Vol 84, pp 33-47, 1996.
-
(1996)
Fuzzy Sets and Systems
, vol.84
, pp. 33-47
-
-
Hong, T.-P.1
Lee, C.-Y.2
-
25
-
-
0032094918
-
Similarity Measures in Fuzzy Rule Base Simplification
-
Magne Setnes and Robert Babuska and Uzay Kaymak and Hans R. Van Nauta Lemke: Similarity Measures in Fuzzy Rule Base Simplification. IEEE Trans. on Systems, Man, and Cybern., Vol. 28, n 3, pp 376-386, 1998
-
(1998)
IEEE Trans. on Systems, Man, and Cybern.
, vol.28
, Issue.3
, pp. 376-386
-
-
Setnes, M.1
Babuska, R.2
Kaymak, U.3
Van Nauta Lemke, H.R.4
-
26
-
-
0027647258
-
Similarity, Interpolation, and Fuzzy Rule Construction
-
Thomas Sudkamp: Similarity, Interpolation, and Fuzzy Rule Construction. Fuzzy Sets and Systems, Vol. 58, n 1, pp 73-86, 1993.
-
(1993)
Fuzzy Sets and Systems
, vol.58
, Issue.1
, pp. 73-86
-
-
Sudkamp, T.1
-
27
-
-
0031707842
-
An Efficient Method of Fuzzy Rules Generation
-
Jian Wang and Li Shen Wang and Ju-Fen Chao: An Efficient Method of Fuzzy Rules Generation. Proc. of the IEEE Int. Conf. on Intelligent Processing Systems, ICIPS, Vol. 1, 295-199, 1997.
-
(1997)
Proc. of the IEEE Int. Conf. on Intelligent Processing Systems, ICIPS
, vol.1
, pp. 295-1199
-
-
Wang, J.1
Wang, L.S.2
Chao, J.-F.3
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