-
1
-
-
0025488663
-
30 Years of adaptive neural networks: Perceptron, madaline, and backpropagation
-
Sept.
-
B. Widrow and M. A. Lehr, “30 Years of adaptive neural networks: Perceptron, madaline, and backpropagation,” Proc. IEEE, vol. 78, pp. 1415–1442, Sept. 1990.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1415-1442
-
-
Widrow, B.1
Lehr, M.A.2
-
2
-
-
0003529238
-
Beyond Regression: New tools for prediction and analysis in behavioral sciences
-
Harvard Univ., Cambridge, MA, Aug.
-
P. Werbos, “Beyond Regression: New tools for prediction and analysis in behavioral sciences,” Ph.D. dissertation, Harvard Univ., Cambridge, MA, Aug. 1974.
-
(1974)
Ph.D. dissertation
-
-
Werbos, P.1
-
4
-
-
29444452108
-
Optimal learning in neural network memories
-
L. F. Abbott and T. B. Kepler, “Optimal learning in neural network memories,” J. Physics A, vol. 22, pp. L711-L717, 1989.
-
(1989)
J. Physics A
, vol.22
, pp. L711-L717
-
-
Abbott, L.F.1
Kepler, T.B.2
-
5
-
-
0000759079
-
The AdaTron: An adaptive perceptron algorithm
-
J. K. Anlauf and M. Biehl, “The AdaTron: An adaptive perceptron algorithm,” Europhysics Lett., vol. 10, pp. 687–692, 1989.
-
(1989)
Europhysics Lett.
, vol.10
, pp. 687-692
-
-
Anlauf, J.K.1
Biehl, M.2
-
6
-
-
0024137490
-
Increased rate of convergence through learning rate adaptation
-
R. A. Jacobs, “Increased rate of convergence through learning rate adaptation,” Neural Networks, vol. 1, pp. 295–307, 1988.
-
(1988)
Neural Networks
, vol.1
, pp. 295-307
-
-
Jacobs, R.A.1
-
7
-
-
0001694484
-
Acceleration techniques for the backpropagation algorithm
-
L. B. Almeida and C. J. Wellekens, Eds. New York: Springer-Verlag
-
F. M. Silva and L. B. Almeida, “Acceleration techniques for the backpropagation algorithm,” in Proc. EURASIP Workshop on Neural Networks, L. B. Almeida and C. J. Wellekens, Eds. New York: Springer-Verlag, 1990.
-
(1990)
Proc. EURASIP Workshop on Neural Networks
-
-
Silva, F.M.1
Almeida, L.B.2
-
8
-
-
0001209372
-
Accelerated backpropagation learning: Two optimization methods
-
R. Battiti, “Accelerated backpropagation learning: Two optimization methods,” Complex Systems, vol. 3, pp. 331–342, 1989.
-
(1989)
Complex Systems
, vol.3
, pp. 331-342
-
-
Battiti, R.1
-
9
-
-
34250094997
-
Accelerating the convergence of the back-propagation method
-
T. P. Vogl, J. K. Mangis, A. K. Rigler, W. T. Zink, and D. L. Alton, “Accelerating the convergence of the back-propagation method,” Bio. Cybem. vol. 59, pp. 257–263, 1988.
-
(1988)
Bio. Cybem.
, vol.59
, pp. 257-263
-
-
Vogl, T.P.1
Mangis, J.K.2
Rigler, A.K.3
Zink, W.T.4
Alton, D.L.5
-
10
-
-
0003000735
-
Fast-learning variations on back-propagation: An empirical study
-
D. Touretzky, G. Hinton, and T. Sejnowski, Eds. San Mateo, CA: Morgan Kaufmann
-
S. E. Fahlman, “Fast-learning variations on back-propagation: An empirical study,” in Proc. 1988 Connectionist Models Summer School, D. Touretzky, G. Hinton, and T. Sejnowski, Eds. San Mateo, CA: Morgan Kaufmann, pp. 38–51, 1989.
-
(1989)
Proc. 1988 Connectionist Models Summer School
, pp. 38-51
-
-
Fahlman, S.E.1
-
11
-
-
0023602770
-
Optimal algorithms for adaptive networks: Second order back propagation, second order direct propagation, and second order Hebbian learning
-
D. B. Parker, “Optimal algorithms for adaptive networks: Second order back propagation, second order direct propagation, and second order Hebbian learning,” in Proc. Int. Conf. Neural Networks, vol. II, pp. 593–600, 1987.
-
(1987)
Proc. Int. Conf. Neural Networks
, vol.2
, pp. 593-600
-
-
Parker, D.B.1
-
12
-
-
0024715766
-
An adaptive least squares algorithm for the efficient training of artificial neural networks
-
S. Kollias and D. Anastassiou, “An adaptive least squares algorithm for the efficient training of artificial neural networks,” IEEE Trans. Circuits Syst., vol. 36, pp. 1092–1101, 1989.
-
(1989)
IEEE Trans. Circuits Syst.
, vol.36
, pp. 1092-1101
-
-
Kollias, S.1
Anastassiou, D.2
-
13
-
-
0002906163
-
Improving the convergence of backpropagation learning with second order methods
-
D. Touretzky, G. Hinton, and T. Sejnowski, Eds. San Mateo, CA: Morgan Kaufmann
-
S. Becker and Y. le Cun, “Improving the convergence of backpropagation learning with second order methods,” in Proc. 1988 Connectionist Models Summer School, D. Touretzky, G. Hinton, and T. Sejnowski, Eds. San Mateo, CA: Morgan Kaufmann, pp. 29–37, 1989.
-
(1989)
Proc. 1988 Connectionist Models Summer School
, pp. 29-37
-
-
Becker, S.1
le Cun, Y.2
-
14
-
-
0000221272
-
Training multilayer perceptrons with extended Kalman filter
-
San Mateo, Morgan Kaufmann, CA
-
S. Singhal and L. Wu, “Training multilayer perceptrons with extended Kalman filter,” in Advances in Neural Information Processing. San Mateo, Morgan Kaufmann, CA: pp. 133–140, 1989.
-
(1989)
Advances in Neural Information Processing
, pp. 133-140
-
-
Singhal, S.1
Wu, L.2
-
15
-
-
0026727333
-
A fast new algorithm for training feedforward neural networks
-
R. S. Scalero and N. Tepedelenlioglu, “A fast new algorithm for training feedforward neural networks,” IEEE Trans. Signal Processing, vol. 40, pp. 202–210, 1992.
-
(1992)
IEEE Trans. Signal Processing
, vol.40
, pp. 202-210
-
-
Scalero, R.S.1
Tepedelenlioglu, N.2
-
17
-
-
0003696212
-
Artificial neural networks: Learning algorithms, performance evaluation, and applications
-
Univ. Toronto, Apr.
-
N. B. Karayiannis, “Artificial neural networks: Learning algorithms, performance evaluation, and applications,” Ph.D. dissertation, Univ. Toronto, Apr. 1991.
-
(1991)
Ph.D. dissertation
-
-
Karayiannis, N.B.1
-
18
-
-
84941858482
-
Recursive least squares learning algorithms for single-layered neural networks
-
May
-
N. B. Karayiannis and A. N. Venetsanopoulos, “Recursive least squares learning algorithms for single-layered neural networks,” in Proc. of LASTED Int. Conf. Modelling, Simulation, and Optimization, pp. 162–165, May 1990.
-
(1990)
Proc. of LASTED Int. Conf. Modelling, Simulation, and Optimization
, pp. 162-165
-
-
Karayiannis, N.B.1
Venetsanopoulos, A.N.2
-
19
-
-
0348187998
-
Efficient learning algorithms for single-layered neural networks
-
R. Eckmiller, G. Hartmann, and G. Hauske, Eds. North Holland: Elsevier Publishers
-
—, “Efficient learning algorithms for single-layered neural networks,” Parallel Processing in Neural Systems and Computers, R. Eckmiller, G. Hartmann, and G. Hauske, Eds. North Holland: Elsevier Publishers, pp. 173–176, 1990.
-
(1990)
Parallel Processing in Neural Systems and Computers
, pp. 173-176
-
-
-
21
-
-
0001336749
-
Accelerated learning layered neural networks
-
S. A. Solla E. Levin, and M. Fleisher, “Accelerated learning layered neural networks,” Complex Systems, vol. 2, pp. 625–640, 1988.
-
(1988)
Complex Systems
, vol.2
, pp. 625-640
-
-
Solla, S.A.1
Levin, E.2
Fleisher, M.3
-
22
-
-
0002099561
-
Supervised learning of probability distributions by neural networks
-
D. Z. Anderson, Ed. New York: American Institute of Physics
-
E. B. Baum and F. Wilczek, “Supervised learning of probability distributions by neural networks,” in Neural Information Processing Systems, D. Z. Anderson, Ed. New York: American Institute of Physics, pp. 52–61, 1988.
-
(1988)
Neural Information Processing Systems
, pp. 52-61
-
-
Baum, E.B.1
Wilczek, F.2
-
23
-
-
0001041635
-
Learning algorithms and probability distributions in feed-forward and feed-back networks
-
J. J. Hopfield, “Learning algorithms and probability distributions in feed-forward and feed-back networks,” in Proc. National Academy of Sciences, USA, vol. 84, pp. 8429–8433, 1987.
-
(1987)
Proc. National Academy of Sciences, USA
, vol.84
, pp. 8429-8433
-
-
Hopfield, J.J.1
-
24
-
-
1842862363
-
Fast learning algorithms for neural networks
-
T. Kohonen et. al., Eds. North Holland: Elsevier Publishers
-
N. B. Karayiannis and A. N. Venetsanopoulos, “Fast learning algorithms for neural networks,” in Artificial Neural Networks, T. Kohonen et. al., Eds. North Holland: Elsevier Publishers, pp. 1141–1144, 1991.
-
(1991)
Artificial Neural Networks
, pp. 1141-1144
-
-
Karayiannis, N.B.1
Venetsanopoulos, A.N.2
-
25
-
-
0025670892
-
The multilayer perceptron as an approximation to Bayes optimal discriminant function
-
D. W. Ruck, S. K. Rogers, M. Kabrisky, M. E. Oxley, and B. W. Suter, “The multilayer perceptron as an approximation to Bayes optimal discriminant function,” IEEE Trans. Neural Networks, vol. 1, pp. 296–298, 1990.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, pp. 296-298
-
-
Ruck, D.W.1
Rogers, S.K.2
Kabrisky, M.3
Oxley, M.E.4
Suter, B.W.5
-
26
-
-
36149029127
-
On the dynamics of neural networks realizing associative memories of first and higher order
-
July
-
N. B. Karayiannis and A. N. Venetsanopoulos, “On the dynamics of neural networks realizing associative memories of first and higher order,” Network: Computation in Neural Systems, vol. 1, pp. 345–364, July 1990.
-
(1990)
Network: Computation in Neural Systems
, vol.1
, pp. 345-364
-
-
Karayiannis, N.B.1
Venetsanopoulos, A.N.2
-
28
-
-
0001109377
-
Learning internal representations from gray-scale images: An example of extensional programming
-
G. W. Cottrell, P. Munro, and D. Zipser, “Learning internal representations from gray-scale images: An example of extensional programming,” in Proc. Ninth Annual Conf. Cognitive Science Society, pp. 462–473, 1987.
-
(1987)
Proc. Ninth Annual Conf. Cognitive Science Society
, pp. 462-473
-
-
Cottrell, G.W.1
Munro, P.2
Zipser, D.3
-
29
-
-
0024220237
-
Auto-association by multilayer perceptrons and singular value decomposition
-
H. Boulard and Y. Kamp, “Auto-association by multilayer perceptrons and singular value decomposition,” Bio. Cybem., vol. 59, pp. 291–294, 1988.
-
(1988)
Bio. Cybem.
, vol.59
, pp. 291-294
-
-
Boulard, H.1
Kamp, Y.2
-
30
-
-
0024774330
-
Neural networks and principal component analysis: Learning from examples without local minima
-
P. Baldi and K. Hornik, “Neural networks and principal component analysis: Learning from examples without local minima,” Neural Networks, vol. 2, pp. 53–58, 1989.
-
(1989)
Neural Networks
, vol.2
, pp. 53-58
-
-
Baldi, P.1
Hornik, K.2
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