-
1
-
-
0026923465
-
Learning and tuning fuzzy logic controllers through reinforcements
-
Sept.
-
H. R. Berenji and P. Khedkar, "Learning and tuning fuzzy logic controllers through reinforcements," IEEE Trans. Neural Networks, pp. 724-740, Sept. 1992.
-
(1992)
IEEE Trans. Neural Networks
, pp. 724-740
-
-
Berenji, H.R.1
Khedkar, P.2
-
4
-
-
0028268852
-
On the principles of fuzzy neural networks
-
M. M. Gupta and D. H. Rao, "On the principles of fuzzy neural networks," Fuzzy Sets Syst., vol. 61, no. 1, pp. 1-18, 1994.
-
(1994)
Fuzzy Sets Syst.
, vol.61
, Issue.1
, pp. 1-18
-
-
Gupta, M.M.1
Rao, D.H.2
-
5
-
-
0027601884
-
ANFIS: Adaptive-network-based fuzzy inference system
-
Mar.
-
J. R. Jang, "ANFIS: Adaptive-network-based fuzzy inference system," IEEE Trans. Syst., Man, Cybern., vol. 23, pp. 665-685, Mar. 1993.
-
(1993)
IEEE Trans. Syst., Man, Cybern.
, vol.23
, pp. 665-685
-
-
Jang, J.R.1
-
6
-
-
0028483093
-
Fuzzy model based control: Stability, robustness, and performance issues
-
May
-
T. A. Johansen, "Fuzzy model based control: Stability, robustness, and performance issues," IEEE Trans. Fuzzy Syst., vol. 2, pp. 221-234, May 1994.
-
(1994)
IEEE Trans. Fuzzy Syst.
, vol.2
, pp. 221-234
-
-
Johansen, T.A.1
-
7
-
-
0025404409
-
Fuzzy logic in control systems: Fuzzy logic controller, Part I and II
-
Feb.
-
C. C. Lee, "Fuzzy logic in control systems: Fuzzy logic controller, Part I and II," IEEE Trans. Syst., Man, Cybern., vol. 20, pp. 404-435, Feb. 1990.
-
(1990)
IEEE Trans. Syst., Man, Cybern.
, vol.20
, pp. 404-435
-
-
Lee, C.C.1
-
9
-
-
0025399567
-
Identification and control of dynamical systems using neural networks
-
Jan.
-
K. S. Narendra and K. Parthasarathy, "Identification and control of dynamical systems using neural networks," IEEE Trans. Neural Networks, vol. 1, pp. 4-27, Jan. 1990.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, pp. 4-27
-
-
Narendra, K.S.1
Parthasarathy, K.2
-
10
-
-
0003576119
-
-
Englewood Cliffs, NJ: Prentice-Hall
-
J. Nie and D. A. Linkens, Fuzzy Neural Control: Principles, Algorithms, and Applications. Englewood Cliffs, NJ: Prentice-Hall, 1994.
-
(1994)
Fuzzy Neural Control: Principles, Algorithms, and Applications
-
-
Nie, J.1
Linkens, D.A.2
-
11
-
-
0027303425
-
Training of fuzzy logic systems using nearest neighborhood clustering
-
San Francisco, CA, Mar.
-
L. X. Wang, "Training of fuzzy logic systems using nearest neighborhood clustering," in Proc. 1993 IEEE Int. Conf. Fuzzy Syst., San Francisco, CA, Mar. 1993, pp. 13-17.
-
(1993)
Proc. 1993 IEEE Int. Conf. Fuzzy Syst.
, pp. 13-17
-
-
Wang, L.X.1
-
14
-
-
0026928374
-
Fuzzy basis functions, universal approximation, and orthogonal least squares learning
-
Sept.
-
L. X. Wang and J. M. Mendel, "Fuzzy basis functions, universal approximation, and orthogonal least squares learning," IEEE Trans. Neural Networks, vol. 3, pp. 807-814, Sept. 1992.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 807-814
-
-
Wang, L.X.1
Mendel, J.M.2
-
15
-
-
0026943536
-
Generating fuzzy rules by learning from examples
-
June
-
_, "Generating fuzzy rules by learning from examples," IEEE Trans. Syst., Man, Cybern., vol. 22, pp. 1414-1427, June 1992.
-
(1992)
IEEE Trans. Syst., Man, Cybern.
, vol.22
, pp. 1414-1427
-
-
-
16
-
-
0028400629
-
Sufficient conditions on general fuzzy systems as function approximations
-
H. Ying, "Sufficient conditions on general fuzzy systems as function approximations," Automatica, vol. 30, no. 3, pp. 521-525, 1994.
-
(1994)
Automatica
, vol.30
, Issue.3
, pp. 521-525
-
-
Ying, H.1
-
17
-
-
0028436491
-
Approximation theory for fuzzy systems - SISO case
-
May
-
X. J. Zeng and M. G. Singh, "Approximation theory for fuzzy systems - SISO case," IEEE Trans. Fuzzy Syst., vol. 2, pp. 162-176, May 1994.
-
(1994)
IEEE Trans. Fuzzy Syst.
, vol.2
, pp. 162-176
-
-
Zeng, X.J.1
Singh, M.G.2
-
18
-
-
33749908001
-
Approximation accuracy analysis of fuzzy systems as function approximators
-
Aug.
-
_, "Approximation accuracy analysis of fuzzy systems as function approximators," IEEE Trans. Fuzzy Syst., pp. 219-231, Aug. 1995.
-
(1995)
IEEE Trans. Fuzzy Syst.
, pp. 219-231
-
-
|