-
1
-
-
0024685547
-
Identification of MIMO nonlinear systems using a forward-regression orthogonal estimator
-
S. A. Billings, S. Chen, and M. J. Korenberg, "Identification of MIMO nonlinear systems using a forward-regression orthogonal estimator," Int. J. Contr., vol. 49, pp. 2157-2189, 1988.
-
(1988)
Int. J. Contr.
, vol.49
, pp. 2157-2189
-
-
Billings, S.A.1
Chen, S.2
Korenberg, M.J.3
-
3
-
-
0026188751
-
Learning vector quantization for the probabilistic neural network
-
July
-
P. Burrascano, "Learning vector quantization for the probabilistic neural network," IEEE Trans. Neural Networks, vol. 2, pp. 458-461, July 1991.
-
(1991)
IEEE Trans. Neural Networks
, vol.2
, pp. 458-461
-
-
Burrascano, P.1
-
4
-
-
0026116468
-
Orthogonal least squares learning algorithm for radial basis function networks
-
Mar.
-
S. Chen, C. F. N. Cowan, and P. M. Grant, "Orthogonal least squares learning algorithm for radial basis function networks," IEEE Trans. Neural Networks, vol. 2, pp. 302-309, Mar. 1991.
-
(1991)
IEEE Trans. Neural Networks
, vol.2
, pp. 302-309
-
-
Chen, S.1
Cowan, C.F.N.2
Grant, P.M.3
-
5
-
-
0032594851
-
Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks
-
Sept.
-
S. Chen, Y. Wu, and B. L. Luk, "Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks," IEEE Trans. Neural Networks, vol. 10, pp. 1239-1243, Sept. 1999.
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, pp. 1239-1243
-
-
Chen, S.1
Wu, Y.2
Luk, B.L.3
-
7
-
-
0029429674
-
Probabilistic neural network array architecture for ECG classification
-
C. Kramer, B. Mckay, and J. Belina, "Probabilistic neural network array architecture for ECG classification," in Proc. Annu. Int. Conf. IEEE Eng. Medicine Biol., vol. 17, 1995, pp. 807-808.
-
(1995)
Proc. Annu. Int. Conf. IEEE Eng. Medicine Biol.
, vol.17
, pp. 807-808
-
-
Kramer, C.1
Mckay, B.2
Belina, J.3
-
8
-
-
0031999908
-
Nearest prototype classification: Clustering, genetic algorithms, or random search
-
Feb.
-
L. I. Kuncheva and J. C. Bezdek, "Nearest prototype classification: Clustering, genetic algorithms, or random search," IEEE Trans. Syst., Man, Cybern. C, vol. 28, pp. 160-164, Feb. 1998.
-
(1998)
IEEE Trans. Syst., Man, Cybern. C
, vol.28
, pp. 160-164
-
-
Kuncheva, L.I.1
Bezdek, J.C.2
-
9
-
-
0033362397
-
Performance and efficiency: Recent advances in supervised learning
-
S. Ma and C. Ji, "Performance and efficiency: Recent advances in supervised learning," Proc. IEEE, vol. 87, pp. 1519-1535, 1999.
-
(1999)
Proc. IEEE
, vol.87
, pp. 1519-1535
-
-
Ma, S.1
Ji, C.2
-
10
-
-
0028443029
-
On the generalization ability of neural-network classifier
-
M. T. Musavi, K. H. Chan, D. M. Hummels, and K. Kalantri, "On the generalization ability of neural-network classifier," IEEE Trans. Pattern Anal. Machine Intell., vol. 16, no. 6, pp. 659-663, 1994.
-
(1994)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.16
, Issue.6
, pp. 659-663
-
-
Musavi, M.T.1
Chan, K.H.2
Hummels, D.M.3
Kalantri, K.4
-
11
-
-
0031210970
-
Optical Chinese character recognition using probabilistic neural networks
-
R. D. Romero, D. S. Touretzky, and G. H. Thibadeau, "Optical Chinese character recognition using probabilistic neural networks," Pattern Recognit., vol. 3, no. 8, pp. 1279-1292, 1997.
-
(1997)
Pattern Recognit.
, vol.3
, Issue.8
, pp. 1279-1292
-
-
Romero, R.D.1
Touretzky, D.S.2
Thibadeau, G.H.3
-
12
-
-
0032069602
-
Supervised texture classification using a probabilistic neural network and constraint satisfaction model
-
May
-
P. P. Raghu and B. Yegnanarayana, "Supervised texture classification using a probabilistic neural network and constraint satisfaction model," IEEE Trans. Neural Networks, vol. 9, pp. 516-522, May 1998.
-
(1998)
IEEE Trans. Neural Networks
, vol.9
, pp. 516-522
-
-
Raghu, P.P.1
Yegnanarayana, B.2
-
13
-
-
0025206332
-
Probabilistic neural networks
-
D. F. Specht, "Probabilistic neural networks," Neural Networks, vol. 3, no. 1, pp. 109-118, 1990.
-
(1990)
Neural Networks
, vol.3
, Issue.1
, pp. 109-118
-
-
Specht, D.F.1
-
14
-
-
85008484889
-
Enhancements to the probabilistic neural networks
-
Baltimore, MD
-
_, "Enhancements to the probabilistic neural networks," in Proc. IEEE Int. Joint Conf. Neural Networks, Baltimore, MD, 1992, pp. 761-768.
-
(1992)
Proc. IEEE Int. Joint Conf. Neural Networks
, pp. 761-768
-
-
-
15
-
-
0028497290
-
Maximum likelihood training of probabilistic neural network
-
Sept.
-
R. L. Streit and T. E. Luginbuhl, "Maximum likelihood training of probabilistic neural network," IEEE Trans. Neural Networks, vol. 5, pp. 764-783, Sept. 1994.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, pp. 764-783
-
-
Streit, R.L.1
Luginbuhl, T.E.2
-
16
-
-
0030297488
-
Ultrasonic image analysis for liver diagnosis-a-noninvasive alternative to determine liver disease
-
Y. N. Sun, M. H. Horng, X. Z. Lin, and J. Y. Wang, "Ultrasonic image analysis for liver diagnosis-a-noninvasive alternative to determine liver disease," IEEE Eng. Med. Biol. Mag., vol. 15, no. 1, pp. 93-101, 1996.
-
(1996)
IEEE Eng. Med. Biol. Mag.
, vol.15
, Issue.1
, pp. 93-101
-
-
Sun, Y.N.1
Horng, M.H.2
Lin, X.Z.3
Wang, J.Y.4
-
17
-
-
0026151470
-
A neural-network approach to statistical pattern classification by semiparametric estimation of a probability density functions
-
May
-
H. G. C. Traven, "A neural-network approach to statistical pattern classification by semiparametric estimation of a probability density functions," IEEE Trans. Neural Networks, vol. 2, pp. 366-377, May 1991.
-
(1991)
IEEE Trans. Neural Networks
, vol.2
, pp. 366-377
-
-
Traven, H.G.C.1
-
18
-
-
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
-
19
-
-
0029406441
-
Building sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques
-
L. Wang and R. Langari, "Building sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques," IEEE Trans. Fuzzy Syst., vol. 3, pp. 454-458, 1995.
-
(1995)
IEEE Trans. Fuzzy Syst.
, vol.3
, pp. 454-458
-
-
Wang, L.1
Langari, R.2
-
20
-
-
0030197198
-
Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction
-
July
-
B. A. Whitehead and T. D. Choate, "Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction," IEEE Trans. Neural Networks, vol. 7, pp. 869-880, July 1996.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, pp. 869-880
-
-
Whitehead, B.A.1
Choate, T.D.2
-
21
-
-
0030721334
-
A vector quantization reduction method for the probabilistic neural network
-
Piscataway, NJ
-
A. Zaknich, "A vector quantization reduction method for the probabilistic neural network," in Proc. IEEE Int. Conf. Neural Networks, Piscataway, NJ, 1997, pp. 1117-1120.
-
(1997)
Proc. IEEE Int. Conf. Neural Networks
, pp. 1117-1120
-
-
Zaknich, A.1
|