-
1
-
-
0026836876
-
Using random weights to train multilayer networks of hard-limiting units
-
[1] P.L. Bartlett, T. Downs, Using random weights to train multilayer networks of hard-limiting units, IEEE Trans. Neural Networks 3 (2) (1992) 202-210.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.2
, pp. 202-210
-
-
Bartlett, P.L.1
Downs, T.2
-
2
-
-
0027224761
-
A learning algorithm for multilayered neural networks based on linear least-squares problems
-
[2] F. Biegler-Konig, F. Barmann, A learning algorithm for multilayered neural networks based on linear least-squares problems, Neural Networks 6 (1) (1993) 127-131.
-
(1993)
Neural Networks
, vol.6
, Issue.1
, pp. 127-131
-
-
Biegler-Konig, F.1
Barmann, F.2
-
3
-
-
0000621802
-
Multivariate functional interpolation and adaptive networks
-
[3] D.S. Broomhead, D. Lowe, Multivariate functional interpolation and adaptive networks, Complex Systems 2 (1988) 321-335.
-
(1988)
Complex Systems
, vol.2
, pp. 321-335
-
-
Broomhead, D.S.1
Lowe, D.2
-
4
-
-
0026308855
-
Improving the training speed of three-layer feedforward neural nets by optimal estimation of the initial weights
-
Singapore
-
[4] C.L. Chen, R.S. Nutter, Improving the training speed of three-layer feedforward neural nets by optimal estimation of the initial weights, Internet Joint Conf, on Neural Networks, Singapore, 1991. 2063-2068.
-
(1991)
Internet Joint Conf, on Neural Networks
, pp. 2063-2068
-
-
Chen, C.L.1
Nutter, R.S.2
-
5
-
-
0028754365
-
An efficient supervised learning neural network: An architecture and algorithm
-
[5] C.L.P. Chen, S.R. LeClair, An efficient supervised learning neural network: an architecture and algorithm, Artificial Neural Networks in Engineering, 1994, 179-184.
-
(1994)
Artificial Neural Networks in Engineering
, pp. 179-184
-
-
Chen, C.L.P.1
LeClair, S.R.2
-
9
-
-
0000293377
-
Backpropagation learning for multilayer feedforward neural networks using the conjugate gradient method
-
[9] E.M. Johansson, F.U. Dowla, D.M. Goodman. Backpropagation learning for multilayer feedforward neural networks using the conjugate gradient method. Internat. J. Neural Systems 2 (4) (1991) 291-301.
-
(1991)
Internat. J. Neural Systems
, vol.2
, Issue.4
, pp. 291-301
-
-
Johansson, E.M.1
Dowla, F.U.2
Goodman, D.M.3
-
10
-
-
0010570443
-
On line computer control techniques and their applicationto re-entry aerospace vehicle control
-
C.T. Leondes (Ed.), Academic Press, London
-
[10] F.H. Kishi, On line computer control techniques and their applicationto re-entry aerospace vehicle control, in: C.T. Leondes (Ed.), Advances in Control Systems Theory and Applications, Academic Press, London, 1964, pp. 245-257.
-
(1964)
Advances in Control Systems Theory and Applications
, pp. 245-257
-
-
Kishi, F.H.1
-
11
-
-
0002773313
-
Learning with localized receptive fields
-
San Mateo, CA
-
[11] J. Moody, C. Darken, Learning with localized receptive fields, Proc. 1988 Connectionist Models Summer School Morgan Kaufmann, San Mateo, CA, 1988, 133-143.
-
(1988)
Proc. 1988 Connectionist Models Summer School Morgan Kaufmann
, pp. 133-143
-
-
Moody, J.1
Darken, C.2
-
13
-
-
0025399567
-
Identification and control of dynamical systems using neural networks
-
[13] K.S. Narendra, K. Parthasarathy, Identification and control of dynamical systems using neural networks, IEEE Trans. Neural Networks 1(1) (1990) 4-27.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, Issue.1
, pp. 4-27
-
-
Narendra, K.S.1
Parthasarathy, K.2
-
14
-
-
0027632250
-
A novel multilayer neural networks training algorithm that minimizes the probability of classification error
-
[14] V. Nedeljkovic, A novel multilayer neural networks training algorithm that minimizes the probability of classification error, IEEE Trans. Neural Networks 4 (4) (1993) 650-659.
-
(1993)
IEEE Trans. Neural Networks
, vol.4
, Issue.4
, pp. 650-659
-
-
Nedeljkovic, V.1
-
16
-
-
0028420218
-
Learning and generalization characteristics of random vector functional-link net
-
[16] Y.-H. Pao, G.-H. Park, D.J. Sobajic, Learning and generalization characteristics of 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
-
17
-
-
0025490985
-
Networks for aproximation and learning
-
[17] T. Poggio, F. Girosi, Networks for aproximation and learning, Proc. IEEE 78 (9) (1990) 1481-1497.
-
(1990)
Proc. IEEE
, vol.78
, Issue.9
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
18
-
-
0003776055
-
-
Wiley, New York
-
[18] G.V. Reklaitis, A. Ravindran, K.M. Ragsdell, Engineering Optimization: Methods and Applications, Wiley, New York, 1983.
-
(1983)
Engineering Optimization: Methods and Applications
-
-
Reklaitis, G.V.1
Ravindran, A.2
Ragsdell, K.M.3
-
20
-
-
34748822416
-
Pulsed laser deposition of diamond-like amorphous carbon films from graphite and polycarbonate targets
-
[20] A.A. Voevodin, S.J.P. Laube, S.D. Walck, J.S. Solomon, M.S. Donley, J.S. Zabinski, Pulsed laser deposition of diamond-like amorphous carbon films from graphite and polycarbonate targets, J. Appl. Phys. 78 (6) (1995).
-
(1995)
J. Appl. Phys.
, vol.78
, Issue.6
-
-
Voevodin, A.A.1
Laube, S.J.P.2
Walck, S.D.3
Solomon, J.S.4
Donley, M.S.5
Zabinski, J.S.6
-
21
-
-
0000358422
-
Time series prediction by using a connectionist network with internal delay lines
-
A.S. Weigend, N.A. Gerbenfeld (Eds.), Addison-Wesley, Reading, MA
-
[21] E.A. Wan, Time series prediction by using a connectionist network with internal delay lines, in: A.S. Weigend, N.A. Gerbenfeld (Eds.), Time Series Prediction, Forecasting the Future and Understanding the Past, Addison-Wesley, Reading, MA, 1994.
-
(1994)
Time Series Prediction, Forecasting the Future and Understanding the Past
-
-
Wan, E.A.1
-
22
-
-
0026955395
-
Avoiding false local minima by proper initialization of connection
-
[22] L.F. Wessels, E. Bernard, Avoiding false local minima by proper initialization of connection, IEEE Trans. Neural Networks 3 (6) (1992) 899-905.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.6
, pp. 899-905
-
-
Wessels, L.F.1
Bernard, E.2
|