-
1
-
-
0028392483
-
Learning long-term dependencieswith gradient descent is difficult
-
Bengio, Y., P. Simard and P. Frasconi (1994), “Learning long-term dependencies with gradient descent is difficult”, IEEE Transactions on Neural Networks, 5(2).
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, Issue.2
-
-
Bengio, Y.1
Simard, P.2
Frasconi, P.3
-
2
-
-
0034268994
-
Stable-encoding of finite-state machines in discretetimerecurrent neural nets with sigmoid units
-
Carrasco, R. C. et al. (2000), “Stable-encoding of finite-state machines in discretetime recurrent neural nets with sigmoid units”, Neural Computation, 12(9).
-
(2000)
Neural Computation
, vol.12
, Issue.9
-
-
Carrasco, R.C.1
-
3
-
-
0000111307
-
Finite stateautomata and simple recurrent networks
-
Cleeremans, A., D. Servan-Schreiber and J. L. McClelland (1989), “Finite state automata and simple recurrent networks”, Neural Computation, 1(3), 372–381.
-
(1989)
Neural Computation
, vol.1
, Issue.3
, pp. 372-381
-
-
Cleeremans, A.1
Servan-Schreiber, D.2
McClelland, J.L.3
-
4
-
-
26444565569
-
Finding structure in time
-
Elman, J. L. (1990), “Finding structure in time”, Cognitive Science, 14, 179–211.
-
(1990)
Cognitive Science
, vol.14
, pp. 179-211
-
-
Elman, J.L.1
-
5
-
-
0003413187
-
-
Prentice-Hall, New Jersey, 2nd edition
-
Haykin, S. (1999), Neural networks: a comprehensive foundation, Chapter 15, Prentice-Hall, New Jersey, 2nd edition.
-
(1999)
Neural Networks: A Comprehensive Foundation, Chapter 15
-
-
Haykin, S.1
-
6
-
-
0003575034
-
Untersuchungen zu dynamischen neuronalen Netzen
-
Technische Universität München
-
Hochreiter, J. (1991), Untersuchungen zu dynamischen neuronalen Netzen, Diploma thesis, Institut für Informatik, Technische Universität München.
-
(1991)
Diploma Thesis, Institut für Informatik
-
-
Hochreiter, J.1
-
8
-
-
0035482117
-
-
Neural Processing Letters, in press
-
Pérez-Ortiz, J. A., J. Calera-Rubio, M. L. Forcada (2001), “Online text prediction with recurrent neural networks”, Neural Processing Letters, in press.
-
(2001)
Online Text Predictionwith Recurrent Neural networks”
-
-
Pérez-Ortiz, J.A.1
Calera-Rubio, J.2
Forcada, M.L.3
-
10
-
-
0000329355
-
A recurrent error propagation speechrecognition system
-
Robinson, A. J. and F. Fallside (1991), “A recurrent error propagation speech recognition system”, Computer Speech and Language, 5, 259–274.
-
(1991)
Computer Speech and Language
, vol.5
, pp. 259-274
-
-
Robinson, A.J.1
Fallside, F.2
-
11
-
-
0029732478
-
Sequential neural text compression
-
Schmidhuber, J. and S. Heil (1996), “Sequential neural text compression”, IEEE Transactions on Neural Networks, 7(1), pp. 142-146.
-
(1996)
IEEE Transactions on Neural Networks
, vol.7
, Issue.1
, pp. 142-146
-
-
Schmidhuber, J.1
Heil, S.2
-
12
-
-
0001274675
-
Learning sequential structures with the realtimerecurrent learning algorithm
-
Smith, A. W. and D. Zipser (1989), “Learning sequential structures with the realtime recurrent learning algorithm”, International Journal of Neural Systems, 1(2).
-
(1989)
International Journal of Neural Systems
, vol.1
, Issue.2
-
-
Smith, A.W.1
Zipser, D.2
-
13
-
-
0033097317
-
Extracting finite-state representations from recurrentneural networks trained on chaotic symbolic sequences
-
Tiňo, P., M. Köteles (1999), “Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences”, IEEE Transactions on Neural Networks, 10(2), pp. 284–302.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.2
, pp. 284-302
-
-
Tiňo, P.1
Köteles, M.2
-
14
-
-
84969330348
-
A learning algorithm for continuallytraining recurrent neural networks
-
Williams, R. J. and R. A. Zipser (1989), “A learning algorithm for continually training recurrent neural networks”, Neural Computation, 1, 270–280.
-
(1989)
Neural Computation
, vol.1
, pp. 270-280
-
-
Williams, R.J.1
Zipser, R.A.2
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