-
1
-
-
0742290017
-
Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and d-optima lity
-
X. Hong, C. Harris, and S. Chen, "Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and d-optima lity," IEEE Trans Syst Man Cybem Part B Cybem, vol. 34, pp. 598-608, 2004.
-
(2004)
IEEE Trans Syst Man Cybem Part B Cybem
, vol.34
, pp. 598-608
-
-
Hong, X.1
Harris, C.2
Chen, S.3
-
2
-
-
0027601884
-
Anfls: Adaptive network-based fuzzy inference system
-
J. Jang, "Anfls: adaptive network-based fuzzy inference system," IEEE Trans. Systems Man Cybernet, vol. 23, pp. 665-684, 1993.
-
(1993)
IEEE Trans. Systems Man Cybernet
, vol.23
, pp. 665-684
-
-
Jang, J.1
-
3
-
-
0030283350
-
Radial basis function based adaptive fuzzy systems and their applications to identification and prediction
-
K. Cho and B. Wang, "Radial basis function based adaptive fuzzy systems and their applications to identification and prediction," Fuzzy Sets and Systems, vol. 83, pp. 325-339, 1996.
-
(1996)
Fuzzy Sets and Systems
, vol.83
, pp. 325-339
-
-
Cho, K.1
Wang, B.2
-
4
-
-
0031999146
-
An on-line self-constructing neural fuzzy inference network and its applications
-
C. Juang and C. Lin, "An on-line self-constructing neural fuzzy inference network and its applications," IEEE Trans. Fuzzy Systems, vol. 6, pp. 12-32, 1998.
-
(1998)
IEEE Trans. Fuzzy Systems
, vol.6
, pp. 12-32
-
-
Juang, C.1
Lin, C.2
-
5
-
-
0024771664
-
Orthogonal least squares methods and their application to nonlinear system identification
-
S. Chen, S. A. Billings, and W. Luo. "Orthogonal least squares methods and their application to nonlinear system identification," International Journal of Control, vol. 50, pp. 1873-1896, 1989.
-
(1989)
International Journal of Control
, vol.50
, pp. 1873-1896
-
-
Chen, S.1
Billings, S.A.2
Luo, W.3
-
6
-
-
0026116468
-
Orthogonal least squares learning algorithm for radial basis function, network
-
S. Chen, C. F. N. Cowan, and P. M. Grant, "Orthogonal least squares learning algorithm for radial basis function, network," IEEE Trans. Neural Networks, vol. 2, pp. 302-309, 1991.
-
(1991)
IEEE Trans. Neural Networks
, vol.2
, pp. 302-309
-
-
Chen, S.1
Cowan, C.F.N.2
Grant, P.M.3
-
7
-
-
0029343956
-
Fast orthogonal least squares algorithm for efficient subset model selection
-
S. Chen and J. Wigger. "Fast orthogonal least squares algorithm for efficient subset model selection," IEEE Trans. Signal Processing, vol. 43, pp. 1713-1715, 1995.
-
(1995)
IEEE Trans. Signal Processing
, vol.43
, pp. 1713-1715
-
-
Chen, S.1
Wigger, J.2
-
8
-
-
0030192825
-
Fast orthogonal identification of nonlinear stochastic models and radial basis function neural network
-
Q. M. Zhu and S. A. Billings, "Fast orthogonal identification of nonlinear stochastic models and radial basis function neural network," Int. J. Contr., vol. 64, pp. 871-886, 1996.
-
(1996)
Int. J. Contr
, vol.64
, pp. 871-886
-
-
Zhu, Q.M.1
Billings, S.A.2
-
9
-
-
0036740201
-
-
K. Z. Mao, 'Fast orthogonal forward selection algorithm for feature subset selection, IEEE Trans. Neural networks, 13. pp. 1218-1224, 2002.
-
K. Z. Mao, 'Fast orthogonal forward selection algorithm for feature subset selection," IEEE Trans. Neural networks, vol. 13. pp. 1218-1224, 2002.
-
-
-
-
10
-
-
0041376987
-
A neurofuzzy network knowledge extraction and extended gram schmidt algorithm for model subspace decompo-sition
-
X. Hong and C. J. Harris. "A neurofuzzy network knowledge extraction and extended gram schmidt algorithm for model subspace decompo-sition," IEEE Trans Fuzzy Syst, vol. 11, pp. 528-541, 2003.
-
(2003)
IEEE Trans Fuzzy Syst
, vol.11
, pp. 528-541
-
-
Hong, X.1
Harris, C.J.2
-
11
-
-
0026928374
-
Fuzzy basis functions, universal approxi-mation, and orthogonal least-squares learning
-
L. Wang and J. Mendel, "Fuzzy basis functions, universal approxi-mation, and orthogonal least-squares learning," IEEE Trans. Neural Networks, vol. 3, pp. 807-814, 1992.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 807-814
-
-
Wang, L.1
Mendel, J.2
-
12
-
-
0031568361
-
A sequential learning scheme for function approximation using minimal radial basis function neural networks
-
N. S. Y. Lu and P. Saratchandran, "A sequential learning scheme for function approximation using minimal radial basis function neural networks," Neural Computation, vol. 9, pp. 461-478, 1997.
-
(1997)
Neural Computation
, vol.9
, pp. 461-478
-
-
Lu, N.S.Y.1
Saratchandran, P.2
-
13
-
-
0033692531
-
Dynamic fuzzy neural networks-a novel approach to function approximation
-
S. Wu and M. J. Er, 'Dynamic fuzzy neural networks-a novel approach to function approximation," IEEE Trans. Systems Man Cybernet., P. B: Cybernet., vol. 30, pp. 358-364, 2000.
-
(2000)
IEEE Trans. Systems Man Cybernet., P. B: Cybernet
, vol.30
, pp. 358-364
-
-
Wu, S.1
Er, M.J.2
-
14
-
-
0035415951
-
A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks
-
S. Wu, M.J.Er, and Y. Gao, "A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks," IEEE Trans. Fuzzy Systems, vol. 9, pp. 578-594, 2001.
-
(2001)
IEEE Trans. Fuzzy Systems
, vol.9
, pp. 578-594
-
-
Wu, S.1
Er, M.J.2
Gao, Y.3
-
15
-
-
26244441991
-
A fast nonlinear model identification method
-
K. Li, J. Peng, and G. Irwin, "A fast nonlinear model identification method," IEEE Transactions on Automatic Control, vol. 50, no, 8, pp. 1211-1216, 2005.
-
(2005)
IEEE Transactions on Automatic Control
, vol.50
, Issue.8
, pp. 1211-1216
-
-
Li, K.1
Peng, J.2
Irwin, G.3
-
17
-
-
23944513599
-
Takagi-sugeno fuzzy model structure selection based on new sensitivity analysis
-
J. D. Saez, "Takagi-sugeno fuzzy model structure selection based on new sensitivity analysis," in The 2005 IEEE International Conference on Fuzzy Systems, pp. 501-506, 2005.
-
(2005)
The 2005 IEEE International Conference on Fuzzy Systems
, pp. 501-506
-
-
Saez, J.D.1
-
19
-
-
0000612809
-
Fuzzy basis functions: Comparison with other basis function
-
H. M. Kim and J. M. Mendel. "Fuzzy basis functions: Comparison with other basis function," IEEE Trans Fuzzy Syst, vol. 3, no. 2, pp. 158-168, 1995.
-
(1995)
IEEE Trans Fuzzy Syst
, vol.3
, Issue.2
, pp. 158-168
-
-
Kim, H.M.1
Mendel, J.M.2
-
20
-
-
0029308071
-
Fuzzy b-spline membership function (bmf) and its applications in fuzzy-neural control
-
C. Wang, W. Wang, T. Lee, and P. seng, "Fuzzy b-spline membership function (bmf) and its applications in fuzzy-neural control," IEEE Trans Syst Man Cybem, vol. 25, pp. 841-851, 1995.
-
(1995)
IEEE Trans Syst Man Cybem
, vol.25
, pp. 841-851
-
-
Wang, C.1
Wang, W.2
Lee, T.3
seng, P.4
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