-
1
-
-
0025448276
-
Non-linear system identification using neural networks
-
S. Chen, S. Billings, and P. Grant, "Non-linear system identification using neural networks," Int. J. Contr., vol. 51, no. 6, pp. 1191-1214, 1990.
-
(1990)
Int. J. Contr.
, vol.51
, Issue.6
, pp. 1191-1214
-
-
Chen, S.1
Billings, S.2
Grant, P.3
-
2
-
-
0029308753
-
Neural networks for statistical recognition of continuous speech
-
N. Morgan and H. A. Bourlard, "Neural networks for statistical recognition of continuous speech," Proc. IEEE, vol. 83, no. 5, pp. 741-770.
-
Proc. IEEE
, vol.83
, Issue.5
, pp. 741-770
-
-
Morgan, N.1
Bourlard, H.A.2
-
3
-
-
0030104056
-
Neural networks expand SP's horizons
-
S. Haykin, "Neural networks expand SP's horizons," IEEE Signal Processing Mag., vol. 3, no. 3, pp. 24-49, 1996.
-
(1996)
IEEE Signal Processing Mag.
, vol.3
, Issue.3
, pp. 24-49
-
-
Haykin, S.1
-
4
-
-
0000646059
-
Learning internal representations by error propagation
-
D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, Foundations
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," in Parallel Distributed Processing: Explorations in the Micro structure of Cognition, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, 1986, vol. 1: Foundations.
-
(1986)
Parallel Distributed Processing: Explorations in the Micro Structure of Cognition
, vol.1
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
5
-
-
0023331258
-
An introduction to computing with neural nets
-
R. Lippmann, "An introduction to computing with neural nets," IEEE ASSP Mag., no. 4, pp. 4-22, 1987.
-
(1987)
IEEE ASSP Mag.
, Issue.4
, pp. 4-22
-
-
Lippmann, R.1
-
6
-
-
84974231501
-
Aspects of the numerical analysis of neural networks
-
Cambridge University Press
-
S. W. Ellacot, "Aspects of the numerical analysis of neural networks," in Acta Numerica: Cambridge University Press, 1994.
-
(1994)
Acta Numerica
-
-
Ellacot, S.W.1
-
7
-
-
0028292832
-
Minimization methods for training feedforward neural networks
-
P. Patric van der Smagt, "Minimization methods for training feedforward neural networks," Neural Networks, vol. 7, no. 1, pp. 1-11, 1994.
-
(1994)
Neural Networks
, vol.7
, Issue.1
, pp. 1-11
-
-
Patric Van Der Smagt, P.1
-
8
-
-
0028867556
-
Selective training of feedforward artificial neural networks using matrix perturbation theory
-
S. T. Hunt and J. R. Deller, "Selective training of feedforward artificial neural networks using matrix perturbation theory," Neural Networks, vol. 8, no. 6, 1995.
-
Neural Networks
, vol.8
, Issue.6
, pp. 1995
-
-
Hunt, S.T.1
Deller, J.R.2
-
9
-
-
0026460513
-
On a class of efficient learning algorithm for multi-layered neural networks
-
F. Baermann and F. Biegler-Koenig, "On a class of efficient learning algorithm for multi-layered neural networks," Neural Networks, vol. 5, no. 1, 1992.
-
(1992)
Neural Networks
, vol.5
, Issue.1
-
-
Baermann, F.1
Biegler-Koenig, F.2
-
10
-
-
0026841022
-
A real-time learning algorithm for multilayered neural network based on the extended Kalman filter
-
Y. Iiguni and H. Sakai, "A real-time learning algorithm for multilayered neural network based on the extended Kalman filter," IEEE Trans. Signal Processing, vol. 40, 1992.
-
IEEE Trans. Signal Processing
, vol.40
, pp. 1992
-
-
Iiguni, Y.1
Sakai, H.2
-
11
-
-
0029182199
-
An accelerated learning algorithm for multilayer perceptron: Optimization layer by layer
-
S. Ergenziger and E. Thompsen, "An accelerated learning algorithm for multilayer perceptron: Optimization layer by layer," IEEE Trans. Neural Networks, vol. 6, pp. 31-42, 1995.
-
(1995)
IEEE Trans. Neural Networks
, vol.6
, pp. 31-42
-
-
Ergenziger, S.1
Thompsen, E.2
-
12
-
-
0026820187
-
Fast learning process of multilayer neural network using recursive least squares method
-
M. R. Azimi-Sadjadi and R. J. Liou, "Fast learning process of multilayer neural network using recursive least squares method," IEEE Trans. Signal Processing, vol. 40, 1992.
-
IEEE Trans. Signal Processing
, vol.40
, pp. 1992
-
-
Azimi-Sadjadi, M.R.1
Liou, R.J.2
-
13
-
-
24044517658
-
Hybrid learning algorithms for neural networks - The adaptive inclusion of second order information
-
M. Pfister and R. Rojas, "Hybrid learning algorithms for neural networks - The adaptive inclusion of second order information," Zeitschrift fuer Angewandte Mathematik und Mechanik, vol. 76, no. 1, pp. 215-218, 1996.
-
(1996)
Zeitschrift fuer Angewandte Mathematik und Mechanik
, vol.76
, Issue.1
, pp. 215-218
-
-
Pfister, M.1
Rojas, R.2
-
14
-
-
0029196050
-
Fast neural-net simulation with a DSP processor array
-
U. Mueller, A. Gunzinger, and W. Guggenbuehl, "Fast neural-net simulation with a DSP processor array," IEEE Trans. Neural Networks, vol. 6, pp. 203-213, 1995.
-
(1995)
IEEE Trans. Neural Networks
, vol.6
, pp. 203-213
-
-
Mueller, U.1
Gunzinger, A.2
Guggenbuehl, W.3
-
17
-
-
0000543253
-
A propagation-backpropagation method for ultrasound tomography
-
F. Natterer and F. Wuebelling, "A propagation-backpropagation method for ultrasound tomography," Inverse Problems, vol. 11, no. 6, 1995.
-
Inverse Problems
, vol.11
, Issue.6
, pp. 1995
-
-
Natterer, F.1
Wuebelling, F.2
-
21
-
-
33747593326
-
-
Dept. Comput. Syst., Univ. Amsterdam
-
V. Visniauskas, F. Groen, and B. Kroese, "Function approximation with a feedforward network: The optimal number of learning samples and hidden units," Dept. Comput. Syst., Univ. Amsterdam, 1992.
-
(1992)
Function Approximation with a Feedforward Network: The Optimal Number of Learning Samples and Hidden Units
-
-
Visniauskas, V.1
Groen, F.2
Kroese, B.3
-
22
-
-
0003838144
-
-
Ph.D. dissertation, Eng. Dept., Cambridge Univ., Cambridge, U.K.
-
A. J. Robinson, "Dynamic error propogation networks," Ph.D. dissertation, Eng. Dept., Cambridge Univ., Cambridge, U.K., 1989.
-
(1989)
Dynamic Error Propogation Networks
-
-
Robinson, A.J.1
-
23
-
-
0023843391
-
Analysis of hidden units in a layered network trained to classify sonar target
-
R. P. Gorman and T. J. Sejnowski, "Analysis of hidden units in a layered network trained to classify sonar target," Neural Networks, no. 1, pp. 75-89, 1988.
-
(1988)
Neural Networks
, Issue.1
, pp. 75-89
-
-
Gorman, R.P.1
Sejnowski, T.J.2
-
24
-
-
0030246542
-
On projection algorithms for solving convex feasibility problems
-
H. Bauschke and J. Borwein, "On projection algorithms for solving convex feasibility problems," SIAM Rev., vol. 38, no. 3, pp. 367-426.
-
SIAM Rev.
, vol.38
, Issue.3
, pp. 367-426
-
-
Bauschke, H.1
Borwein, J.2
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