-
1
-
-
0024861871
-
Approximation by superpositions of a sigmoidal function
-
G. Cybenko, "Approximation by superpositions of a sigmoidal function," Mathematics of Control, Signal and Systems, vol. 2, pp. 303-314, 1989.
-
(1989)
Mathematics of Control, Signal and Systems
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
2
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
M. S. K. Hornik and H. White, "Multilayer feedforward networks are universal approximators," Neural Networks, vol. 2(5), 359-366, 1989.
-
(1989)
Neural Networks
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, M.S.K.1
White, H.2
-
3
-
-
0026624310
-
Genetic generation of both the weights and architecture for a neural network
-
Seattle, WA
-
J. R. Koza and J. P. Rice, "Genetic generation of both the weights and architecture for a neural network," in Proc. IEEE, IJCNN, Seattle, WA, 1991, vol. 2, pp. 397-404.
-
(1991)
Proc. IEEE, IJCNN
, vol.2
, pp. 397-404
-
-
Koza, J.R.1
Rice, J.P.2
-
4
-
-
0031143030
-
A new evolutionary system for evolving artificial neural networks
-
May
-
X. Yao and Y. Liu, "A new evolutionary system for evolving artificial neural networks," Transactions on Neural Networks, vol. 8, no. 3, pp. 694-713, May 1997.
-
(1997)
Transactions on Neural Networks
, vol.8
, Issue.3
, pp. 694-713
-
-
Yao, X.1
Liu, Y.2
-
6
-
-
77952285596
-
Evolving product unit neural networks with particle swarm optimization
-
IEEE Computer Society
-
R. Huang, and S. Tong, "Evolving Product Unit Neural Networks with Particle Swarm Optimization," Fifth International Conference on Image and Graphics, IEEE Computer Society, 2009.
-
(2009)
Fifth International Conference on Image and Graphics
-
-
Huang, R.1
Tong, S.2
-
7
-
-
0031146959
-
Constructive algorithms for structure learning in feedforward neural networks for regression problems
-
May
-
T. Y. Kwok, D. Y. Yeung, "Constructive Algorithms for Structure Learning in feedforward Neural Networks for Regression Problems," IEEE Transactions on Neural Networks, 8 (3), 630-645, May 1997.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.3
, pp. 630-645
-
-
Kwok, T.Y.1
Yeung, D.Y.2
-
8
-
-
0027662338
-
Pruning algorithms-a survey
-
Sept
-
R. Reed, "Pruning algorithms-A Survey," IEEE Transactions on. Neural Networks, vol. 4, pp. 740-747, Sept.1993.
-
(1993)
IEEE Transactions On. Neural Networks
, vol.4
, pp. 740-747
-
-
Reed, R.1
-
9
-
-
84945797434
-
Dynamic node creation in backpropagation networks
-
T. Ash, "Dynamic node creation in backpropagation networks," Connection Science, vol. 1, no. 4, pp. 365-375, 1989.
-
(1989)
Connection Science
, vol.1
, Issue.4
, pp. 365-375
-
-
Ash, T.1
-
10
-
-
0000155950
-
The cascade correlation learning architecture
-
D. S. Touretzky, Ed. CA: Morgan Kaufmann
-
S. E. Fahlman and C. Lebiere, "The cascade correlation learning architecture," Advances in Neural Information Processing System 2, D. S. Touretzky, Ed. CA: Morgan Kaufmann, pp. 524-277, 1990.
-
(1990)
Advances in Neural Information Processing System
, vol.2
, pp. 524-277
-
-
Fahlman, S.E.1
Lebiere, C.2
-
11
-
-
0000646059
-
Learning internal representations by error propagation
-
I, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," Parallel Distributed Processing, vol. I, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, 1986, pp. 318-362.
-
(1986)
Parallel Distributed Processing
, pp. 318-362
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
12
-
-
0003578240
-
-
Carnegie Mellon Univ., Pittsburg, PA, Tech. Rep. CMU-CS-88-162
-
S. E Fahlman, "An empirical study of learning speed in backpropagation networks," Carnegie Mellon Univ., Pittsburg, PA, Tech. Rep. CMU-CS-88-162, 1988.
-
(1988)
An Empirical Study of Learning Speed in Backpropagation Networks
-
-
Fahlman, S.E.1
-
13
-
-
84943274699
-
A direct adaptive method for faster backpropagation learning: The RPROP Algorithm
-
San Francisco, CA
-
M. Riedmiller and H. Braun, "A direct adaptive method for faster backpropagation learning: The RPROP Algorithm," Proc. of the IEEE Int. Conf. on Neural Networks, San Francisco, CA, pp. 586-591, 1993.
-
(1993)
Proc. of the IEEE Int. Conf. on Neural Networks
, pp. 586-591
-
-
Riedmiller, M.1
Braun, H.2
-
14
-
-
0029185114
-
Use of a quasi-newton method in a feedforward neural network construction algorithm
-
January
-
R. Setiono and L. C. K. Hui, "Use of a Quasi-Newton Method in a Feedforward Neural Network Construction Algorithm," IEEE Transactions on Neural Networks, vol. 6, No. 1, January 1995.
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, Issue.1
-
-
Setiono, R.1
Hui, L.C.K.2
-
15
-
-
0028543366
-
Training feedforward networks with the marquardt algorithm
-
M. T. Hagan and M. B. Menhaj, "Training Feedforward Networks with the Marquardt algorithm," IEEE Transactions on Neural Networks, vol. 5, no. 6, pp. 989- 993, 1994.
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, Issue.6
, pp. 989-993
-
-
Hagan, M.T.1
Menhaj, M.B.2
-
16
-
-
0029185114
-
Use of a quasi- newton method in a feedforward neural network construction algorithm
-
R. Setiono and L. C. K. Hui, "Use of a Quasi- Newton method in a Feedforward Neural Network Construction Algorithm," IEEE Transactions on Neural Networks, vol. 6, no. 1, pp. 273-277, 1995.
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, Issue.1
, pp. 273-277
-
-
Setiono, R.1
Hui, L.C.K.2
-
17
-
-
0031236099
-
Objective functions for training new hidden units in constructive neural networks
-
T. Y. Kwok, D. Y. Yenug, "Objective functions for training new hidden units in constructive neural networks," IEEE Transactions on Neural Networks, Vol. 8, No. 5, 1997, pp. 1131-1148.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.5
, pp. 1131-1148
-
-
Kwok, T.Y.1
Yenug, D.Y.2
-
18
-
-
0031193357
-
Investigation of the cascor family of learning algorithms
-
L. Prechelt, "Investigation of the cascor family of learning algorithms," Neural Networks 10 (5), pp 885-896, 1997.
-
(1997)
Neural Networks
, vol.10
, Issue.5
, pp. 885-896
-
-
Prechelt, L.1
-
19
-
-
1942454824
-
New training strategies for constructive neural networks with application to regression problems
-
L. Ma and K. Khorasani, "New training strategies for constructive neural networks with application to regression problems," Neurocomputing, vol. 17, pp. 589-609, 2004.
-
(2004)
Neurocomputing
, vol.17
, pp. 589-609
-
-
Ma, L.1
Khorasani, K.2
-
20
-
-
79952092140
-
An adaptive slope basic dynamic node creation algorithm for single hidden layer neural networks
-
CICN 2010, India, 26-28 November, DOI 10.1109/CICN.2010.38
-
S. K. Sharma and P. Chandra, "An adaptive slope basic dynamic node creation algorithm for single hidden layer neural networks," Proc. of the IEEE Int. Conf. CICN 2010, India, 26-28 November 2010, pp. 531-539, DOI 10.1109/CICN.2010.38.
-
(2010)
Proc. of the IEEE Int. Conf.
, pp. 531-539
-
-
Sharma, S.K.1
Chandra, P.2
-
21
-
-
0038648742
-
A class +1 sigmoidal activation functions for FFANNs
-
Y. Singh and P. Chandra, "A class +1 sigmoidal activation functions for FFANNs," J. Econ. Dyn. Control, 28(1), pp. 183-187, 2003.
-
(2003)
J. Econ. Dyn. Control
, vol.28
, Issue.1
, pp. 183-187
-
-
Singh, Y.1
Chandra, P.2
-
22
-
-
10244235219
-
An activation function adapting training algorithm for sigmoidal feedforward networks
-
P. Chandra, Y. Singh, "An activation function adapting training algorithm for sigmoidal feedforward networks," Neurocomputing, 61 (2004)pp. 429-437.
-
(2004)
Neurocomputing
, vol.61
, pp. 429-437
-
-
Chandra, P.1
Singh, Y.2
-
23
-
-
0035024581
-
Networks with trainable amplitude of activation functions
-
T. Trentin, "Networks with trainable amplitude of activation functions," Neural Networks 14 (2001), pp. 471-493.
-
(2001)
Neural Networks
, vol.14
, pp. 471-493
-
-
Trentin, T.1
|