-
2
-
-
0024861871
-
Approximations by superpositions of a sigmoidal functions
-
Cybenko G. Approximations by superpositions of a sigmoidal functions. Math. of Control, Signals, and Systems 2 (1989) 303-314
-
(1989)
Math. of Control, Signals, and Systems
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
3
-
-
0003000735
-
Fast-learning variations on back-propagation: An empirical study
-
Touretzky D., Hinton G., and Sejnowski T. (Eds). (Pittsburgh, 1988), Morgan-Kaufmann
-
Fahlman S. Fast-learning variations on back-propagation: An empirical study. In: Touretzky D., Hinton G., and Sejnowski T. (Eds). Proceedings of the 1988 Connectionist Models Summer School. (Pittsburgh, 1988) (1989), Morgan-Kaufmann 38-51
-
(1989)
Proceedings of the 1988 Connectionist Models Summer School
, pp. 38-51
-
-
Fahlman, S.1
-
4
-
-
0000155950
-
The cascade-correlation learning architecture
-
Touretzky D. (Ed), Morgan-Kaufmann
-
Fahlman S., and Lebiere C. The cascade-correlation learning architecture. In: Touretzky D. (Ed). Advances In Neural Information Processing Systems 1 (1990), Morgan-Kaufmann 524-532
-
(1990)
Advances In Neural Information Processing Systems
, vol.1
, pp. 524-532
-
-
Fahlman, S.1
Lebiere, C.2
-
6
-
-
0001234705
-
Second order derivatives for network pruning: optimal brain surgeon
-
Hanson S., Cowan J., and Giles C. (Eds), Morgan-Kaufmann
-
Hassibi B., and Stork D. Second order derivatives for network pruning: optimal brain surgeon. In: Hanson S., Cowan J., and Giles C. (Eds). Advances in Neural Information Processing Systems 5 (1993), Morgan-Kaufmann 164-171
-
(1993)
Advances in Neural Information Processing Systems
, vol.5
, pp. 164-171
-
-
Hassibi, B.1
Stork, D.2
-
9
-
-
0024880831
-
Multilayer feedforward neural networks are universal approximators
-
Hornik K., Stinchcombe M., and White H. Multilayer feedforward neural networks are universal approximators. Neural Networks 2 (1989) 359-366
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
10
-
-
0024137490
-
Increased rates of convergence through learning rate adaptation
-
Jacobs M. Increased rates of convergence through learning rate adaptation. Neural Networks 1 (1988) 295-307
-
(1988)
Neural Networks
, vol.1
, pp. 295-307
-
-
Jacobs, M.1
-
11
-
-
0002748218
-
How neural networks work
-
Anderson D. (Ed), American Institute of Physics
-
Lapedes A., and Farber R. How neural networks work. In: Anderson D. (Ed). Neural Information Processing Systems, (Denver, 1987) (1988), American Institute of Physics 442-456
-
(1988)
Neural Information Processing Systems, (Denver, 1987)
, pp. 442-456
-
-
Lapedes, A.1
Farber, R.2
-
14
-
-
0004225001
-
Learning-logic
-
April, Center for Computational Research in Economics and Management Science, MIT
-
April. Parker D. Learning-logic. Technical Report TR-47 (1985), Center for Computational Research in Economics and Management Science, MIT
-
(1985)
Technical Report TR-47
-
-
Parker, D.1
-
15
-
-
0025056697
-
Regularization algorithms for learning that are equivalent to multilayer networks
-
Poggio T., and Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science 247 (1990) 978-982
-
(1990)
Science
, vol.247
, pp. 978-982
-
-
Poggio, T.1
Girosi, F.2
-
18
-
-
0001336749
-
Accelerated learning in layered neural networks
-
Solla S., Levin E., and Fleisher M. Accelerated learning in layered neural networks. Complex Systems 2 (1988) 625-640
-
(1988)
Complex Systems
, vol.2
, pp. 625-640
-
-
Solla, S.1
Levin, E.2
Fleisher, M.3
-
20
-
-
0003529238
-
Beyond regression: New tools for prediction and analysis in the behavioral sciences
-
Applied Math, Harvard University, Cambridge, MA
-
Werbos P. Beyond regression: New tools for prediction and analysis in the behavioral sciences. Ph.D. Dissertation (1974), Applied Math, Harvard University, Cambridge, MA
-
(1974)
Ph.D. Dissertation
-
-
Werbos, P.1
-
22
-
-
0005233671
-
Strategies for teaching layered networks classification tasks
-
Anderson D. (Ed), American Institute of Physics
-
Wittner B., and Denker J. Strategies for teaching layered networks classification tasks. In: Anderson D. (Ed). Neural Information Processing Systems, (Denver, 1987) (1988), American Institute of Physics 850-859
-
(1988)
Neural Information Processing Systems, (Denver, 1987)
, pp. 850-859
-
-
Wittner, B.1
Denker, J.2
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