-
1
-
-
0000874557
-
Theoretical foundations of the potential function method in pattern recognition learning
-
M.A. Aizerman, E.M. Braverman, L.I. Rozonoer, Theoretical foundations of the potential function method in pattern recognition learning, Autom. Remote Control 25 (1964) 821-837.
-
(1964)
Autom. Remote Control
, vol.25
, pp. 821-837
-
-
Aizerman, M.A.1
Braverman, E.M.2
Rozonoer, L.I.3
-
2
-
-
0001226787
-
Potential function algorithms for pattern recognition learning machines
-
O.A. Bashkirov, E.M. Braverman, I.B. Muchnik, Potential function algorithms for pattern recognition learning machines, Autom. Remote Control 25 (1964) 629-631.
-
(1964)
Autom. Remote Control
, vol.25
, pp. 629-631
-
-
Bashkirov, O.A.1
Braverman, E.M.2
Muchnik, I.B.3
-
3
-
-
0029306750
-
Learning without local minima in radial basis function networks
-
M. Bianchini, E. Frasconi, M. Gori, Learning without local minima in radial basis function networks, IEEE Trans. Neural Networks 6 (3) (1995) 749-756.
-
(1995)
IEEE Trans. Neural Networks
, vol.6
, Issue.3
, pp. 749-756
-
-
Bianchini, M.1
Frasconi, E.2
Gori, M.3
-
4
-
-
33747746017
-
Minimal topology for a radial basis function neural network for pattern classification
-
A.G. Bors, M. Gabbouj, Minimal topology for a radial basis function neural network for pattern classification, Digital Signal Process. 4 (3) (1994) 173-188.
-
(1994)
Digital Signal Process.
, vol.4
, Issue.3
, pp. 173-188
-
-
Bors, A.G.1
Gabbouj, M.2
-
5
-
-
0000621802
-
Multivariable functional interpolation and adaptive networks
-
D.S. Broomhead, D. Lowe, Multivariable functional interpolation and adaptive networks, Complex Systems 2 (1988) 321-355.
-
(1988)
Complex Systems
, vol.2
, pp. 321-355
-
-
Broomhead, D.S.1
Lowe, D.2
-
6
-
-
0025485332
-
Knowledge representation using fuzzy Petri nets
-
S.M. Chen, J.S. Ke, J.F. Chang, Knowledge representation using fuzzy Petri nets, IEEE Trans. Knowledge Data Eng. 2 (3) (1990) 311-319.
-
(1990)
IEEE Trans. Knowledge Data Eng.
, vol.2
, Issue.3
, pp. 311-319
-
-
Chen, S.M.1
Ke, J.S.2
Chang, J.F.3
-
7
-
-
0026116468
-
Orthogonal least squares learning algorithm for radial basis function networks
-
S.M. Chen, C.F.N. Cowan, P.M. Grant, Orthogonal least squares learning algorithm for radial basis function networks, IEEE Trans. Neural Networks 2 (2) (1991) 302-309.
-
(1991)
IEEE Trans. Neural Networks
, vol.2
, Issue.2
, pp. 302-309
-
-
Chen, S.M.1
Cowan, C.F.N.2
Grant, P.M.3
-
8
-
-
0013219540
-
A fuzzy reasoning methodology for rule-based systems
-
S. Tzafestas, A. Venetsanopoulos (Eds.), Kluwer Academic Press, Dordrecht
-
S.M. Chen, A fuzzy reasoning methodology for rule-based systems, in: S. Tzafestas, A. Venetsanopoulos (Eds.), Fuzzy Reasoning in Information, Decision and Control Systems, Kluwer Academic Press, Dordrecht, 1994, pp. 369-386.
-
(1994)
Fuzzy Reasoning in Information, Decision and Control Systems
, pp. 369-386
-
-
Chen, S.M.1
-
9
-
-
0032584928
-
Time series analysis using RBF networks with FIR/IIR synapses
-
I.B. Ciocoiu, Time series analysis using RBF networks with FIR/IIR synapses, Neurocomputing 20 (1998) 57-66.
-
(1998)
Neurocomputing
, vol.20
, pp. 57-66
-
-
Ciocoiu, I.B.1
-
10
-
-
0032022864
-
Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters
-
D.F. Cook, C.-C. Chiu, Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters, IIE Trans. 30 (3) (1998) 227-234.
-
(1998)
IIE Trans.
, vol.30
, Issue.3
, pp. 227-234
-
-
Cook, D.F.1
Chiu, C.-C.2
-
11
-
-
0031918778
-
Reservoir induced earthquakes analyzed via radial basis function networks
-
G. Habibagahi, Reservoir induced earthquakes analyzed via radial basis function networks, Soil Dynamics Earthquake Eng. 17 (1) (1998) 53-56.
-
(1998)
Soil Dynamics Earthquake Eng.
, vol.17
, Issue.1
, pp. 53-56
-
-
Habibagahi, G.1
-
12
-
-
0001683814
-
Layered neural networks with Gaussian hidden units as universal approximators
-
E.J. Hartman, J.D. Keeler, J.M. Kowalski, Layered neural networks with Gaussian hidden units as universal approximators, Neural Comput. 2 (2) (1990) 210-215.
-
(1990)
Neural Comput.
, vol.2
, Issue.2
, pp. 210-215
-
-
Hartman, E.J.1
Keeler, J.D.2
Kowalski, J.M.3
-
13
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators, Neural Networks 2 (5) (1989) 359-366.
-
(1989)
Neural Networks
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
14
-
-
0032584915
-
Learning identity with radial basis function networks
-
A.J. Howell, H. Buxton, Learning identity with radial basis function networks, Neurocomputing 20 (1998) 15-34.
-
(1998)
Neurocomputing
, vol.20
, pp. 15-34
-
-
Howell, A.J.1
Buxton, H.2
-
15
-
-
0030142632
-
Extending the functional equivalence of radial basis function networks and fuzzy inference systems
-
K.J. Hunt, R. Haas, R. Murray-Smith, Extending the functional equivalence of radial basis function networks and fuzzy inference systems, IEEE Trans. Neural Networks 7 (3) (1996) 776-781.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, Issue.3
, pp. 776-781
-
-
Hunt, K.J.1
Haas, R.2
Murray-Smith, R.3
-
16
-
-
0031177613
-
Recognition of unconstrained handwritten numerals by a radial basis function neural network classifier
-
Y.-S. Hwang, S.-Y. Bang, Recognition of unconstrained handwritten numerals by a radial basis function neural network classifier, Pattern Recognition Lett. 18 (7) (1997) 657-664.
-
(1997)
Pattern Recognition Lett.
, vol.18
, Issue.7
, pp. 657-664
-
-
Hwang, Y.-S.1
Bang, S.-Y.2
-
17
-
-
0029535654
-
Interference cancellation using radial basis function networks
-
C. Inhyok, S.A. Kassam, Interference cancellation using radial basis function networks, Signal Process. 47 (3) (1995) 247-268.
-
(1995)
Signal Process.
, vol.47
, Issue.3
, pp. 247-268
-
-
Inhyok, C.1
Kassam, S.A.2
-
18
-
-
0027266182
-
Functional equivalence between radial basis function networks and fuzzy inference systems
-
J-S.R. Jang, C-T. Sun, Functional equivalence between radial basis function networks and fuzzy inference systems, IEEE Trans. Neural Networks 4 (1) (1993) 156-159.
-
(1993)
IEEE Trans. Neural Networks
, vol.4
, Issue.1
, pp. 156-159
-
-
Jang, J.-S.R.1
Sun, C.-T.2
-
19
-
-
0030109050
-
Nonparametric estimation and classification using radial basis function nets and empirical risk minimization
-
A. Krzyzak, T. Linder, G. Lugosi, Nonparametric estimation and classification using radial basis function nets and empirical risk minimization, IEEE Trans. Neural Networks 7 (2) (1996) 475-487.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, Issue.2
, pp. 475-487
-
-
Krzyzak, A.1
Linder, T.2
Lugosi, G.3
-
20
-
-
0030050209
-
Stabilization and speedup of convergence in training feedforward neural networks
-
C. Looney, Stabilization and speedup of convergence in training feedforward neural networks, Neurocomputing 10 (1996a) 7-31.
-
(1996)
Neurocomputing
, vol.10
, pp. 7-31
-
-
Looney, C.1
-
21
-
-
0030121244
-
Demystifying feedforward neural networks as knowledge acquiring black boxes
-
C. Looney, Demystifying feedforward neural networks as knowledge acquiring black boxes, IEEE Trans. Knowledge Data Eng. 8 (2) (1996b) 211-226.
-
(1996)
IEEE Trans. Knowledge Data Eng.
, vol.8
, Issue.2
, pp. 211-226
-
-
Looney, C.1
-
22
-
-
0003394520
-
Pattern Recognition Using Neural Networks
-
Oxford University Press, New York
-
C. Looney, Pattern Recognition Using Neural Networks, Oxford University Press, New York, 1997a.
-
(1997)
-
-
Looney, C.1
-
23
-
-
0027574436
-
Neural networks as expert systems
-
C. Looney, Neural networks as expert systems, J. Expert Systems Appl. 6 (1993) 233-240.
-
(1993)
J. Expert Systems Appl.
, vol.6
, pp. 233-240
-
-
Looney, C.1
-
24
-
-
0023868245
-
Fuzzy Petri nets for rule-based decisionmaking
-
C. Looney, Fuzzy Petri nets for rule-based decisionmaking, IEEE Trans. Systems, Man Cybernet. 18 (1) (1988) 178-183.
-
(1988)
IEEE Trans. Systems, Man Cybernet.
, vol.18
, Issue.1
, pp. 178-183
-
-
Looney, C.1
-
25
-
-
0028381973
-
Speaker identification using multilayer perceptrons and radial basis function networks
-
M.W. Mak, W.G. Allen, G.G. Sexton, Speaker identification using multilayer perceptrons and radial basis function networks, Neurocomputing 6 (1994) 99-117.
-
(1994)
Neurocomputing
, vol.6
, pp. 99-117
-
-
Mak, M.W.1
Allen, W.G.2
Sexton, G.G.3
-
26
-
-
0016368711
-
Applications of fuzzy algorithms for control of simple dynamic plant
-
E.H. Mamdani, Applications of fuzzy algorithms for control of simple dynamic plant, Proc. IEE 121 (12) (1974) 669-678.
-
(1974)
Proc. IEE
, vol.121
, Issue.12
, pp. 669-678
-
-
Mamdani, E.H.1
-
27
-
-
0016451032
-
An experiment in linguistic synthesis of fuzzy controllers
-
E. Mamdani, S. Assilian, An experiment in linguistic synthesis of fuzzy controllers, Int. J. Man Mach. Studies 7 (1975) 1-13.
-
(1975)
Int. J. Man Mach. Studies
, vol.7
, pp. 1-13
-
-
Mamdani, E.1
Assilian, S.2
-
28
-
-
0000684645
-
Breast cancer diagnosis and prognosis via linear programming
-
O.L. Mangasarian, W.N. Street, W.H. Wolberg, Breast cancer diagnosis and prognosis via linear programming, Oper. Res. 43 (4) (1995) 570-577.
-
(1995)
Oper. Res.
, vol.43
, Issue.4
, pp. 570-577
-
-
Mangasarian, O.L.1
Street, W.N.2
Wolberg, W.H.3
-
29
-
-
0028748386
-
Unsupervised learning: The dog-rabbit strategy
-
P. McKenzie, M. Alder, Unsupervised learning: the dog-rabbit strategy, IEEE 1994 International Conference on Neural Networks, Vol. 2, 1994, pp. 616-621.
-
(1994)
IEEE 1994 International Conference on Neural Networks
, vol.2
, pp. 616-621
-
-
McKenzie, P.1
Alder, M.2
-
30
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
J.E. Moody, C.J. Darken, Fast learning in networks of locally-tuned processing units, Neural Comput. 1 (2) (1989) 281-294.
-
(1989)
Neural Comput.
, vol.1
, Issue.2
, pp. 281-294
-
-
Moody, J.E.1
Darken, C.J.2
-
31
-
-
0000482137
-
On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions
-
P. Niyogi, F. Girosi, On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions, Neural Comput. 8 (4) (1996) 819-842.
-
(1996)
Neural Comput.
, vol.8
, Issue.4
, pp. 819-842
-
-
Niyogi, P.1
Girosi, F.2
-
32
-
-
0028420218
-
Learning and generalization characteristics of the random vector functional link net
-
Y.H. Pao, G.H. Park, D.J. Sobajic, Learning and generalization characteristics of the random vector functional link net, Neurocomputing 6 (1994) 163-180.
-
(1994)
Neurocomputing
, vol.6
, pp. 163-180
-
-
Pao, Y.H.1
Park, G.H.2
Sobajic, D.J.3
-
33
-
-
0000106040
-
Universal approximation using radial-basis-function networks
-
J. Park, I.W. Sandberg, Universal approximation using radial-basis-function networks, Neural Comput. 3 (1991) 246-257.
-
(1991)
Neural Comput.
, vol.3
, pp. 246-257
-
-
Park, J.1
Sandberg, I.W.2
-
34
-
-
0001002401
-
Approximation and radial-basis-function networks
-
J. Park, I.W. Sandberg, Approximation and radial-basis-function networks, Neural Comput. 5 (1993) 305-316.
-
(1993)
Neural Comput.
, vol.5
, pp. 305-316
-
-
Park, J.1
Sandberg, I.W.2
-
35
-
-
0342980889
-
Unconstrained word-based approach for off-line script recognition using density-based random-vector functional link net
-
G.H. Park, Y.H. Pao, Unconstrained word-based approach for off-line script recognition using density-based random-vector functional link net, Neurocomputing 31 (2000) 45-65.
-
(2000)
Neurocomputing
, vol.31
, pp. 45-65
-
-
Park, G.H.1
Pao, Y.H.2
-
36
-
-
0025490985
-
Networks for approximating and learning
-
T. Poggio, F. Girosi, Networks for approximating and learning, Proc. IEEE 78 (1990) 1481-1497.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
37
-
-
84992255285
-
Analysis of the functional block involved in the design of radial basis function networks
-
I. Rojas, H. Pomares, J. Gonzales, J.L. Bernier, E. Ros, F.J. Pelayo, A. Prieto, Analysis of the functional block involved in the design of radial basis function networks, Neural Process. Lett. 12 (2000) 1-17.
-
(2000)
Neural Process. Lett.
, vol.12
, pp. 1-17
-
-
Rojas, I.1
Pomares, H.2
Gonzales, J.3
Bernier, J.L.4
Ros, E.5
Pelayo, F.J.6
Prieto, A.7
-
38
-
-
0032584969
-
Waveform detection with RBF network - Application to automated EEG analysis
-
A. Saastamoinen, T. Pietila, A. Varri, M. Lehtokangas, J. Saarinen, Waveform detection with RBF network - application to automated EEG analysis, Neurocomputing 20 (1998) 1-13.
-
(1998)
Neurocomputing
, vol.20
, pp. 1-13
-
-
Saastamoinen, A.1
Pietila, T.2
Varri, A.3
Lehtokangas, M.4
Saarinen, J.5
-
39
-
-
0029256623
-
On the number and the distribution of RBF centers
-
V.D.A. Sanchez, On the number and the distribution of RBF centers, Neurocomputing 7 (1995) 197-202.
-
(1995)
Neurocomputing
, vol.7
, pp. 197-202
-
-
Sanchez, V.D.A.1
-
40
-
-
0029278144
-
Second derivative independent placement of RBF centers
-
V.D.A. Sanchez, Second derivative independent placement of RBF centers, Neurocomputing 7 (1995) 311-317.
-
(1995)
Neurocomputing
, vol.7
, pp. 311-317
-
-
Sanchez, V.D.A.1
-
41
-
-
0032584977
-
The design of a real-time neurocomputer based on RBF networks
-
V.D.A. Sanchez, The design of a real-time neurocomputer based on RBF networks, Neurocomputing 20 (1998) 111-114.
-
(1998)
Neurocomputing
, vol.20
, pp. 111-114
-
-
Sanchez, V.D.A.1
-
42
-
-
0013222098
-
Neurofuzzy modeling of chemical process systems with ellipsoidal radial basis function neural networks and genetic algorithms
-
G.P.J. Schmitz, C. Aldrich, Neurofuzzy modeling of chemical process systems with ellipsoidal radial basis function neural networks and genetic algorithms, Comput. and Chem. Eng. 22 (1998) S1001-S1004.
-
(1998)
Comput. and Chem. Eng.
, vol.22
-
-
Schmitz, G.P.J.1
Aldrich, C.2
-
43
-
-
0013218319
-
A Practical Technique for Estimating General Regression Surfaces
-
Report LMSC-6-79-68-6, Lockheed Missile and Space Co., Inc., Palo Alto, CA
-
D.F. Sprecht, A Practical Technique for Estimating General Regression Surfaces, Report LMSC-6-79-68-6, Lockheed Missile and Space Co., Inc., Palo Alto, CA, 1968.
-
(1968)
-
-
Sprecht, D.F.1
-
44
-
-
0022098324
-
An introductory survey of fuzzy control
-
M. Sugeno, An introductory survey of fuzzy control, Info. Sci. 36 (1985) 59-83.
-
(1985)
Info. Sci.
, vol.36
, pp. 59-83
-
-
Sugeno, M.1
-
45
-
-
0028480967
-
Supervised and unsupervised learning in radial basis function classifiers
-
L. Tarassenko, S. Roberts, Supervised and unsupervised learning in radial basis function classifiers, IEE Proc. Vis. Image Signal Process. 141 (4) (1994) 210-216.
-
(1994)
IEE Proc. Vis. Image Signal Process.
, vol.141
, Issue.4
, pp. 210-216
-
-
Tarassenko, L.1
Roberts, S.2
-
46
-
-
0033131710
-
Classification of microcalcifications in digital mamograms using trend-oriented radial basis function neural network
-
O. Tsujii, M.T. Freedman, S.K. Mun, Classification of microcalcifications in digital mamograms using trend-oriented radial basis function neural network, Pattern Recognition 32 (5) (1999) 891-903.
-
(1999)
Pattern Recognition
, vol.32
, Issue.5
, pp. 891-903
-
-
Tsujii, O.1
Freedman, M.T.2
Mun, S.K.3
-
47
-
-
0030607269
-
The radial basis functions - Partial least squares approach as a flexible non-linear regression technique
-
B. Walczak, D.L. Massart, The radial basis functions - partial least squares approach as a flexible non-linear regression technique, Anal. Chim. Acta 331 (3) (1996) 177-185.
-
(1996)
Anal. Chim. Acta
, vol.331
, Issue.3
, pp. 177-185
-
-
Walczak, B.1
Massart, D.L.2
-
48
-
-
0026994365
-
Fuzzy systems are universal approximators
-
Proceedings of the IEEE International Conference Fuzzy Systems, San Diego
-
L.X. Wang, Fuzzy systems are universal approximators, Proceedings of the IEEE International Conference Fuzzy Systems, San Diego, 1992, pp. 1163-1170.
-
(1992)
, pp. 1163-1170
-
-
Wang, L.X.1
-
49
-
-
0027591320
-
Stable adaptive fuzzy control of nonlinear systems
-
L.X. Wang, Stable adaptive fuzzy control of nonlinear systems, IEEE Trans. Fuzzy Systems 1 (2) (1993) 146-155.
-
(1993)
IEEE Trans. Fuzzy Systems
, vol.1
, Issue.2
, pp. 146-155
-
-
Wang, L.X.1
-
50
-
-
0032584917
-
Application of radial basis function and feedforward artificial neural networks to the Escherichia coli fermentation process
-
M.R. Warnes, J. Gassey, G. Montague, B. Kara, Application of radial basis function and feedforward artificial neural networks to the Escherichia coli fermentation process, Neurocomputing 20 (1998) 67-82.
-
(1998)
Neurocomputing
, vol.20
, pp. 67-82
-
-
Warnes, M.R.1
Gassey, J.2
Montague, G.3
Kara, B.4
-
51
-
-
0004004577
-
Advanced Methods in Neural Computing
-
Van Nostrand Reinhold, New York
-
P.D. Wasserman, Advanced Methods in Neural Computing, Van Nostrand Reinhold, New York, 1993.
-
(1993)
-
-
Wasserman, P.D.1
-
52
-
-
0345267231
-
Certainty factors versus Parzen windows as reliability measures in RBF networks
-
D.K. Wedding II, K.J. Cios, Certainty factors versus Parzen windows as reliability measures in RBF networks, Neurocomputing 19 (1998) 151-165.
-
(1998)
Neurocomputing
, vol.19
, pp. 151-165
-
-
Wedding D.K. II1
Cios, K.J.2
-
53
-
-
0028208116
-
Evolving space-filling curves to distribute radial basis functions over an input space
-
B.A. Whitehead, T.D. Choate, Evolving space-filling curves to distribute radial basis functions over an input space, IEEE Trans. Neural Networks 5 (1) (1994) 15-23.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, Issue.1
, pp. 15-23
-
-
Whitehead, B.A.1
Choate, T.D.2
-
54
-
-
0029050617
-
Computer derived nuclear features distinguish malignant from benign breast cytology
-
W.H. Wolberg, W.N. Street, D.M. Heisey, O.L. Mangasarian, Computer derived nuclear features distinguish malignant from benign breast cytology, Human Pathol. 26 (1995) 792-796.
-
(1995)
Human Pathol.
, vol.26
, pp. 792-796
-
-
Wolberg, W.H.1
Street, W.N.2
Heisey, D.M.3
Mangasarian, O.L.4
-
55
-
-
0033686310
-
K-means-based fuzzy classifier design
-
C.-C. Wong, C.-C. Chen, S.-L. Yeh, K-means-based fuzzy classifier design, IEEE International Conference on Fuzzy Systems, Vol. 1, 2000, pp. 48-52.
-
(2000)
IEEE International Conference on Fuzzy Systems
, vol.1
, pp. 48-52
-
-
Wong, C.-C.1
Chen, C.-C.2
Yeh, S.-L.3
-
56
-
-
0028341934
-
On radial basis function nets and kernal regression: Approximation ability, convergence rate and receptive field size
-
L. Xu, A. Krzyzak, A.L. Yuille, On radial basis function nets and kernal regression: approximation ability, convergence rate and receptive field size, Neural Networks 7 (1994) 609-628.
-
(1994)
Neural Networks
, vol.7
, pp. 609-628
-
-
Xu, L.1
Krzyzak, A.2
Yuille, A.L.3
-
57
-
-
0344073962
-
RBF nets, mixture experts, and Bayesian Ying-Yang learning
-
Lei Xu, RBF nets, mixture experts, and Bayesian Ying-Yang learning, Neurocomputing 19 (1998) 223-257.
-
(1998)
Neurocomputing
, vol.19
, pp. 223-257
-
-
Xu, L.1
-
58
-
-
0013269552
-
Software representation of fuzzy sets and logic
-
S. Tzafestas, A. Venetsanopoulos (Eds.), Kluwer Academic Press, Dordrecht
-
S. Yamamoto, Software representation of fuzzy sets and logic, in: S. Tzafestas, A. Venetsanopoulos (Eds.), Fuzzy Reasoning in Information, Decision and Control Systems, Kluwer Academic Press, Dordrecht, 1994, pp. 51-68.
-
(1994)
Fuzzy Reasoning in Information, Decision and Control Systems
, pp. 51-68
-
-
Yamamoto, S.1
-
60
-
-
0016458950
-
The concepts of a linguistic variable and its application to approximate reasoning
-
L.A. Zadeh, The concepts of a linguistic variable and its application to approximate reasoning, Informat. Sci. 8 (1975) 199-249.
-
(1975)
Informat. Sci.
, vol.8
, pp. 199-249
-
-
Zadeh, L.A.1
-
61
-
-
0030176293
-
Radar target recognition using a radial basis function neural network
-
Qun Zhao, Zheng Bao, Radar target recognition using a radial basis function neural network, Neural Networks 9 (4) (1996) 709 720.
-
(1996)
Neural Networks
, vol.9
, Issue.4
, pp. 709-720
-
-
Zhao, Q.1
Bao, Z.2
|