-
1
-
-
0005619704
-
Generalization of adaptive neuro-fuzzy inference systems
-
Azeem M.F., et al. Generalization of adaptive neuro-fuzzy inference systems. IEEE Trans. Neural Networks. 11:2000;1332-1346.
-
(2000)
IEEE Trans. Neural Networks
, vol.11
, pp. 1332-1346
-
-
Azeem, M.F.1
-
2
-
-
0026820187
-
Fast learning process of multilayer neural networks using recursive least squares technique
-
Azimi-Sadjadi M.R., Liou R. Fast learning process of multilayer neural networks using recursive least squares technique. IEEE Trans. Signal Process. 40(2):1992;446-450.
-
(1992)
IEEE Trans. Signal Process.
, vol.40
, Issue.2
, pp. 446-450
-
-
Azimi-Sadjadi, M.R.1
Liou, R.2
-
3
-
-
0031233348
-
Are artificial neural networks black boxes
-
Benitez J.M., et al. Are artificial neural networks black boxes. IEEE Trans. Neural Networks. 8:1997;1156-1164.
-
(1997)
IEEE Trans. Neural Networks
, vol.8
, pp. 1156-1164
-
-
Benitez, J.M.1
-
5
-
-
0001269716
-
On the equivalence of neural nets and fuzzy expert systems
-
Buckley J.J. On the equivalence of neural nets and fuzzy expert systems. Fuzzy Sets and Systems. 53:1993;129-134.
-
(1993)
Fuzzy Sets and Systems
, vol.53
, pp. 129-134
-
-
Buckley, J.J.1
-
6
-
-
0034187390
-
SEPARATE: A machine learning method based on semi-global partitions
-
Castro J.L. SEPARATE. a machine learning method based on semi-global partitions IEEE Trans. Neural Networks. 11:2000;710-720.
-
(2000)
IEEE Trans. Neural Networks
, vol.11
, pp. 710-720
-
-
Castro, J.L.1
-
7
-
-
0025449162
-
Parallel recursive prediction error algorithms for training layered neural network
-
Chen S., et al. Parallel recursive prediction error algorithms for training layered neural network. Internat. J. Control. 51:1990;1215-1228.
-
(1990)
Internat. J. Control
, vol.51
, pp. 1215-1228
-
-
Chen, S.1
-
8
-
-
0026366218
-
Neural-network-based fuzzy logic control and decision system
-
Chin-Teng Lin, C.S. George Lee, Neural-network-based fuzzy logic control and decision system, IEEE Trans. Comput. 40 (1991) 1320-1336.
-
(1991)
IEEE Trans. Comput.
, vol.40
, pp. 1320-1336
-
-
Lin, C.-T.1
Lee, C.S.G.2
-
9
-
-
0031268660
-
An accelerated recurrent network training algorithm using IIR filter model and recursive least squares method
-
Chow T.W.S., Cho S.Y. An accelerated recurrent network training algorithm using IIR filter model and recursive least squares method. IEEE Trans. Circuits Systems - I: Fund. Theory Appl. 44:1997;1082-1086.
-
(1997)
IEEE Trans. Circuits Systems - I: Fund. Theory Appl.
, vol.44
, pp. 1082-1086
-
-
Chow, T.W.S.1
Cho, S.Y.2
-
10
-
-
0026837224
-
A machine learning method for generation of a neural network architecture: A continuous ID3 algorithm
-
K.J. Cios, Ning Liu, A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm, IEEE Trans. Neural Networks 3 (1992) 280-291.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 280-291
-
-
Cios, K.J.1
Liu, N.2
-
11
-
-
0024861871
-
Approximations by superposition of a sigmoidal function
-
Cybenko G. Approximations by superposition of a sigmoidal function. Math. Control, Signals Systems. 2:1989;303-314.
-
(1989)
Math. Control, Signals Systems
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
12
-
-
0020163947
-
Basic concepts for a theory of evaluation: The aggregative operator
-
Dombi J. Basic concepts for a theory of evaluation. the aggregative operator Europ. J. Oper. Res. 10:1982;282-293.
-
(1982)
Europ. J. Oper. Res.
, vol.10
, pp. 282-293
-
-
Dombi, J.1
-
13
-
-
0029510965
-
Coactive neural fuzzy modeling
-
Perth, Australia
-
Eiji Mizutani, J.-S. Jang, Coactive neural fuzzy modeling, in: Proc. of IEEE Internat. Conf. on Neural Networks, Vol. 2, Perth, Australia, 1995, pp. 760-765.
-
(1995)
Proc. of IEEE Internat. Conf. on Neural Networks
, vol.2
, pp. 760-765
-
-
Mizutani, E.1
Jang, J.-S.2
-
14
-
-
0003000735
-
Faster-learning variations on back-propagation: An empirical study
-
S.E. Fahlman, Faster-learning variations on back-propagation: an empirical study, in: Proc. of 1988 Connectionist Models Summer School, 1988, pp. 38-51.
-
(1988)
Proc. of 1988 Connectionist Models Summer School
, pp. 38-51
-
-
Fahlman, S.E.1
-
15
-
-
0026136149
-
Learning algorithms of layered neural networks via extended Kalman filters
-
Fukuda W.K.T., Tzafestas S.G. Learning algorithms of layered neural networks via extended Kalman filters. Internat. J. Systems Sci. 22:1991;753-768.
-
(1991)
Internat. J. Systems Sci.
, vol.22
, pp. 753-768
-
-
Fukuda, W.K.T.1
Tzafestas, S.G.2
-
16
-
-
0034187078
-
General fuzzy min-max neural networks for clustering and classification
-
Gabrays B., Bargiela A. General fuzzy min-max neural networks for clustering and classification. IEEE Trans. Neural Networks. 11:2000;769-783.
-
(2000)
IEEE Trans. Neural Networks
, vol.11
, pp. 769-783
-
-
Gabrays, B.1
Bargiela, A.2
-
17
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
Geman S., Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6:1984;721-741.
-
(1984)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
19
-
-
0032980978
-
Subset-based training and pruning of sigmoid neural networks
-
Guian Zhou, J. Si, Subset-based training and pruning of sigmoid neural networks, Neural Networks 12 (1999) 79-89.
-
(1999)
Neural Networks
, vol.12
, pp. 79-89
-
-
Zhou, G.1
Si, J.2
-
20
-
-
0028543366
-
Training feedforward networks with the Marquardt algorithm
-
Hagan M.T., Menhaj M.B. Training feedforward networks with the Marquardt algorithm. IEEE Trans. Neural Networks. 5:1994;989-993.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, pp. 989-993
-
-
Hagan, M.T.1
Menhaj, M.B.2
-
22
-
-
0033732353
-
The equivalence between fuzzy logic systems and feedforward neural networks
-
Hong-Xing Li, C.L. Philip Chen, The equivalence between fuzzy logic systems and feedforward neural networks, IEEE Trans. Neural Networks, 11 (2000) 356-365.
-
(2000)
IEEE Trans. Neural Networks
, vol.11
, pp. 356-365
-
-
Li, H.-X.1
Chen, C.L.P.2
-
23
-
-
0025627940
-
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
-
Hornik K., Stinchcombe M., White H. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks. 3:1990;551-560.
-
(1990)
Neural Networks
, vol.3
, pp. 551-560
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
24
-
-
0030142632
-
Extending the functional equivalence of radial basis function networks and fuzzy inference systems
-
Hunt K.J., et al. Extending the functional equivalence of radial basis function networks and fuzzy inference systems. IEEE Trans. Neural Networks. 7:1996;776-781.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, pp. 776-781
-
-
Hunt, K.J.1
-
25
-
-
0024137490
-
Increased rate of convergence through learning rate adaptation
-
Jacobs R.A. Increased rate of convergence through learning rate adaptation. Neural Networks. 1:1988;295-307.
-
(1988)
Neural Networks
, vol.1
, pp. 295-307
-
-
Jacobs, R.A.1
-
26
-
-
0027601884
-
ANFIS: Adaptive-network-based fuzzy inference system
-
Jang J.-S. ANFIS. adaptive-network-based fuzzy inference system IEEE Trans. Systems, Man, Cybernet. 23:1993;665-685.
-
(1993)
IEEE Trans. Systems, Man, Cybernet.
, vol.23
, pp. 665-685
-
-
Jang, J.-S.1
-
27
-
-
0028739689
-
Structure determination in fuzzy modeling: A fuzzy CART approach
-
Orlando, FL
-
J.-S. Jang, Structure determination in fuzzy modeling: a fuzzy CART approach, in: Proc. of the 3rd IEEE Conf. on Fuzzy Systems, vol. 1, Orlando, FL, 1994, pp. 480-485.
-
(1994)
Proc. of the 3rd IEEE Conf. on Fuzzy Systems
, vol.1
, pp. 480-485
-
-
Jang, J.-S.1
-
28
-
-
0027266182
-
Functional equivalence between radial basis function networks and fuzzy inference systems
-
Jang J.-S., Sun C.-T. Functional equivalence between radial basis function networks and fuzzy inference systems. IEEE Trans. Neural Networks. 4:1993;156-159.
-
(1993)
IEEE Trans. Neural Networks
, vol.4
, pp. 156-159
-
-
Jang, J.-S.1
Sun, C.-T.2
-
29
-
-
0029273384
-
Neuro-fuzzy modeling and control
-
J.-S. Jang, C.-T. Sun, Neuro-fuzzy modeling and control, in: Proc. IEEE 83(3) (1995) 378-406.
-
(1995)
Proc. IEEE
, vol.83
, Issue.3
, pp. 378-406
-
-
Jang, J.-S.1
Sun, C.-T.2
-
30
-
-
0034482649
-
Fuzzy perceptron neural networks for classifiers with numerical data and linguistic rules as inputs
-
Jia-Lin Chen, Jyh-Yeong Chang, Fuzzy perceptron neural networks for classifiers with numerical data and linguistic rules as inputs, IEEE Trans. Fuzzy System 8 (2000) 730-745.
-
(2000)
IEEE Trans. Fuzzy System
, vol.8
, pp. 730-745
-
-
Chen, J.-L.1
Chang, J.-Y.2
-
31
-
-
0030104509
-
Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal representations
-
Karayiannis N.B. Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal representations. IEEE Trans. Neural Networks. 7:1996;419-426.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, pp. 419-426
-
-
Karayiannis, N.B.1
-
32
-
-
0032845493
-
HyFIS: Adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
-
Kim J., Kasabov N. HyFIS. adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems Neural Networks. 12:1999;1301-1319.
-
(1999)
Neural Networks
, vol.12
, pp. 1301-1319
-
-
Kim, J.1
Kasabov, N.2
-
33
-
-
0024715766
-
An adaptive least squares algorithm for the efficient training of artificial neural networks
-
Kollias S., Anastassiou D. An adaptive least squares algorithm for the efficient training of artificial neural networks. IEEE Trans. Circuits systems. 36:1989;1092-1101.
-
(1989)
IEEE Trans. Circuits Systems
, vol.36
, pp. 1092-1101
-
-
Kollias, S.1
Anastassiou, D.2
-
34
-
-
0026841022
-
A real-time learning algorithm for a multilayered neural network based on the extended Kalman filter
-
Liguni Y., et al. A real-time learning algorithm for a multilayered neural network based on the extended Kalman filter. IEEE Trans. Signal Process. 40:1992;959-966.
-
(1992)
IEEE Trans. Signal Process.
, vol.40
, pp. 959-966
-
-
Liguni, Y.1
-
35
-
-
0028336556
-
Genetic evolution of the topology and weight distribution of neural networks
-
Maniezzo V. Genetic evolution of the topology and weight distribution of neural networks. IEEE Trans. Neural Networks. 5:1994;39-53.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, pp. 39-53
-
-
Maniezzo, V.1
-
36
-
-
0026053207
-
Fractally configured neural networks
-
Merrill J.W.L., Port R.F. Fractally configured neural networks. Neural Networks. 4:1991;53-60.
-
(1991)
Neural Networks
, vol.4
, pp. 53-60
-
-
Merrill, J.W.L.1
Port, R.F.2
-
38
-
-
0025399567
-
Identification and control of dynamical systems using neural networks
-
Narendra K.S., Parthsarathy K. Identification and control of dynamical systems using neural networks. IEEE Trans. Neural Networks. 1:1990;4-27.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, pp. 4-27
-
-
Narendra, K.S.1
Parthsarathy, K.2
-
39
-
-
0033716744
-
Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm
-
Ngia L.S.H., Sjoberg J. Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm. IEEE Trans. Signal Process. 48:2000;1915-1927.
-
(2000)
IEEE Trans. Signal Process.
, vol.48
, pp. 1915-1927
-
-
Ngia, L.S.H.1
Sjoberg, J.2
-
40
-
-
0025536870
-
Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
-
San Diego, CA
-
D. Nguyen, B. Widrow, Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights, in: Int. Joint Conf. Neural Networks, vol. 3, San Diego, CA, 1990, pp. 21-26.
-
(1990)
Int. Joint Conf. Neural Networks
, vol.3
, pp. 21-26
-
-
Nguyen, D.1
Widrow, B.2
-
42
-
-
0023602770
-
Optimal algorithms for adaptive networks: Second order back propagation, second order direct propagation, and second order Hebbian learning
-
IEEE Press, Piscataway, NJ
-
D.B. Parker, Optimal algorithms for adaptive networks: second order back propagation, second order direct propagation, and second order Hebbian learning, in: Proc. IEEE Conf. on Neural Networks, vol. II, IEEE Press, Piscataway, NJ, 1987, pp. 593-600.
-
(1987)
Proc. IEEE Conf. on Neural Networks
, vol.2
, pp. 593-600
-
-
Parker, D.B.1
-
43
-
-
0001406440
-
A mean field theory learning algorithm for neural networks
-
IEEE Press, NJ
-
C. Peterson, J.R. Anderson, A mean field theory learning algorithm for neural networks, Complex Systems, vol. 1, IEEE Press, NJ, 1987, pp. 995-1019.
-
(1987)
Complex Systems
, vol.1
, pp. 995-1019
-
-
Peterson, C.1
Anderson, J.R.2
-
44
-
-
0001857179
-
Learning efficient classification procedures and their application to chess end-games
-
R.S. et al. Michalski. Los Altos, CA: Morgan Kaufmann
-
Quinlan I.R. Learning efficient classification procedures and their application to chess end-games. Michalski R.S., et al. Machine Learning. 1983;Morgan Kaufmann, Los Altos, CA.
-
(1983)
Machine Learning
-
-
Quinlan, I.R.1
-
45
-
-
0025841422
-
Rescaling of variables in back propagation learning
-
Rigler A.K., Irvine J.M., Vogl T.P. Rescaling of variables in back propagation learning. Neural Networks. 4:1991;225-229.
-
(1991)
Neural Networks
, vol.4
, pp. 225-229
-
-
Rigler, A.K.1
Irvine, J.M.2
Vogl, T.P.3
-
46
-
-
0022471098
-
Learning representations by back-propagating errors
-
Rumelhart D.E., Hinton G.E., Williams R.J. Learning representations by back-propagating errors. Nature. 32:1986;533-536.
-
(1986)
Nature
, vol.32
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
47
-
-
0026923239
-
Optimal filtering algorithms for fast learning in feedforward neural networks
-
Shah S., et al. Optimal filtering algorithms for fast learning in feedforward neural networks. Neural Networks. 5:1992;779-787.
-
(1992)
Neural Networks
, vol.5
, pp. 779-787
-
-
Shah, S.1
-
48
-
-
0029296388
-
A fuzzy neural network for rule acquiring on fuzzy control system
-
Shann J.J., Fu H.C. A fuzzy neural network for rule acquiring on fuzzy control system. Fuzzy Sets and Systems. 71:1995;345-357.
-
(1995)
Fuzzy Sets and Systems
, vol.71
, pp. 345-357
-
-
Shann, J.J.1
Fu, H.C.2
-
49
-
-
0032584923
-
Local cluster neural net: Architecture, training and applications
-
Shlomo Geva, Kurt Malmstorm, Joaquin Sitte, Local cluster neural net: architecture, training and applications, Neurocomputing 20 (1998) 35-56.
-
(1998)
Neurocomputing
, vol.20
, pp. 35-56
-
-
Geva, S.1
Malmstorm, K.2
Sitte, J.3
-
50
-
-
0026923902
-
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
-
Shin-ichi Horikawa, et al., On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm, IEEE Trans. Neural Networks 3 (1992) 801-806.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 801-806
-
-
Horikawa, S.-I.1
-
51
-
-
0018530680
-
Symmetric summation: A class of operations on fuzzy sets
-
Silvert W. Symmetric summation: a class of operations on fuzzy sets. IEEE Trans. Systems Man Cybernet. 9:1979;657-659.
-
(1979)
IEEE Trans. Systems Man Cybernet.
, vol.9
, pp. 657-659
-
-
Silvert, W.1
-
52
-
-
0027542561
-
Fuzzy min-max neural networks-Part 2: Clustering
-
Simpson P.K. Fuzzy min-max neural networks-Part 2. clustering IEEE Trans. Fuzzy Systems. 1:1993;32-45.
-
(1993)
IEEE Trans. Fuzzy Systems
, vol.1
, pp. 32-45
-
-
Simpson, P.K.1
-
53
-
-
0026927202
-
Fuzzy min-max neural networks-Part 1: Classification
-
Simpson P.K. Fuzzy min-max neural networks-Part 1. classification IEEE Trans. Neural Networks. 3:1994;776-786.
-
(1994)
IEEE Trans. Neural Networks
, vol.3
, pp. 776-786
-
-
Simpson, P.K.1
-
54
-
-
0032935466
-
Training multilayer neural networks using fast global learning algorithm - Least-squares and penalized optimization methods
-
Siu-yeung Cho, T.W.S. Chow, Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods, Neurocomputing 25 (1999) 115-131.
-
(1999)
Neurocomputing
, vol.25
, pp. 115-131
-
-
Cho, S.-Y.1
Chow, T.W.S.2
-
55
-
-
0026837985
-
Designing multilayer perceptrons from nearest-neighbor systems
-
Smyth S.G. Designing multilayer perceptrons from nearest-neighbor systems. IEEE Trans. Neural Networks. 3:1992;329-333.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 329-333
-
-
Smyth, S.G.1
-
56
-
-
45449126257
-
Structure identification of fuzzy model
-
Sugeno M., Kang G.T. Structure identification of fuzzy model. Fuzzy Sets and Systems. 28:1988;15-33.
-
(1988)
Fuzzy Sets and Systems
, vol.28
, pp. 15-33
-
-
Sugeno, M.1
Kang, G.T.2
-
57
-
-
0028370964
-
Rule-base structure identification in an adaptive-network-based fuzzy inference system
-
Sun C.-T. Rule-base structure identification in an adaptive-network-based fuzzy inference system. IEEE Trans. Fuzzy Systems. 2:1994;64-73.
-
(1994)
IEEE Trans. Fuzzy Systems
, vol.2
, pp. 64-73
-
-
Sun, C.-T.1
-
58
-
-
0021892282
-
Fuzzy identification of systems and its applications to modeling and control
-
Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Systems, Man, and Cybernet. 15:1985;116-132.
-
(1985)
IEEE Trans. Systems, Man, and Cybernet.
, vol.15
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
59
-
-
0026711368
-
Improving the convergence of the back-propagation algorithm
-
Van Ooyen A., Nienhuis B. Improving the convergence of the back-propagation algorithm. Neural Networks. 5:1992;465-471.
-
(1992)
Neural Networks
, vol.5
, pp. 465-471
-
-
Van Ooyen, A.1
Nienhuis, B.2
-
60
-
-
0026928374
-
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
-
Wang L.-X. Fuzzy basis functions, universal approximation, and orthogonal least-squares learning. IEEE Trans. Neural Networks. 3:1992;807-814.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 807-814
-
-
Wang, L.-X.1
-
61
-
-
0023541050
-
Learning algorithms for connectionist networks: Applied gradient methods of nonlinear optimization
-
IEEE Press, Piscataway, NJ
-
R.L. Watrous, Learning algorithms for connectionist networks: applied gradient methods of nonlinear optimization, in: Proc. IEEE Conf. on Neural Networks, vol. II, IEEE Press, Piscataway, NJ, 1987, pp. 619-627.
-
(1987)
Proc. IEEE Conf. on Neural Networks
, vol.2
, pp. 619-627
-
-
Watrous, R.L.1
-
62
-
-
0025724253
-
A method for self-determination of adaptive learning rates in back propagation
-
Weir M.K. A method for self-determination of adaptive learning rates in back propagation. Neural Networks. 4:1991;371-379.
-
(1991)
Neural Networks
, vol.4
, pp. 371-379
-
-
Weir, M.K.1
-
63
-
-
0026955395
-
Avoiding false local minima by proper initialization of connections
-
Wessels L.F.A., Barnard E. Avoiding false local minima by proper initialization of connections. IEEE Trans. Neural Networks. 3:1992;899-905.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 899-905
-
-
Wessels, L.F.A.1
Barnard, E.2
-
64
-
-
0028498541
-
On the initialization and optimization of multilayer perceptrons
-
Weymaere N., Martens J.-P. On the initialization and optimization of multilayer perceptrons. IEEE Trans. Neural Networks. 5:1994;738-751.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, pp. 738-751
-
-
Weymaere, N.1
Martens, J.-P.2
-
65
-
-
0025477595
-
Genetic algorithms and neural networks: Optimizing connections and connectivity
-
Whitley D., et al. Genetic algorithms and neural networks. optimizing connections and connectivity Computing. 14:1990;347-361.
-
(1990)
Computing
, vol.14
, pp. 347-361
-
-
Whitley, D.1
-
66
-
-
0025488663
-
30 Years of adaptive neural networks: Perceptron, madline, and backpropagation
-
B. Widrow, M.A. Lehr, 30 years of adaptive neural networks: perceptron, madline, and backpropagation, in: Proc. IEEE 78 (1990) 1415-1442.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1415-1442
-
-
Widrow, B.1
Lehr, M.A.2
-
67
-
-
44949280565
-
Connectives and quantifiers in fuzzy logic
-
Yager R.R. Connectives and quantifiers in fuzzy logic. Fuzzy Sets and Systems. 40:1991;39-75.
-
(1991)
Fuzzy Sets and Systems
, vol.40
, pp. 39-75
-
-
Yager, R.R.1
-
68
-
-
0035272407
-
Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients
-
Yam J.Y.F., Chow T.W.S. Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients. IEEE Trans. Neural Networks. 12:2001;430-434.
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, pp. 430-434
-
-
Yam, J.Y.F.1
Chow, T.W.S.2
-
69
-
-
0027668649
-
Extended backpropagation algorithm
-
Yam Y.F., Chow T.W.S. Extended backpropagation algorithm. Electron. Lett. 29:1993;1701-1702.
-
(1993)
Electron. Lett.
, vol.29
, pp. 1701-1702
-
-
Yam, Y.F.1
Chow, T.W.S.2
-
70
-
-
0002834406
-
A self-organizing neural-network-based fuzzy system
-
Yin Wang, Gang Rong, A self-organizing neural-network-based fuzzy system, Fuzzy Sets and Systems 103 (1999) 1-11.
-
(1999)
Fuzzy Sets and Systems
, vol.103
, pp. 1-11
-
-
Wang, Y.1
Rong, G.2
-
71
-
-
0032144731
-
A modified back-propagation method to avoid false local minima
-
Yutaka Fukuoka, et al., A modified back-propagation method to avoid false local minima, Neural Networks 11 (1998) 1059-1072.
-
(1998)
Neural Networks
, vol.11
, pp. 1059-1072
-
-
Fukuoka, Y.1
|