-
1
-
-
0000029787
-
FIR and IIR synapses, a new neural network architecture for time series modeling
-
A. D. Back and A. C. Tsoi, "FIR and IIR synapses, a new neural network architecture for time series modeling," Neural Computa., vol. 3, no. 3, pp. 375-385, 1991.
-
(1991)
Neural Computa.
, vol.3
, Issue.3
, pp. 375-385
-
-
Back, A.D.1
Tsoi, A.C.2
-
2
-
-
0028392483
-
Learning long-term dependencies with gradient is difficult
-
Y. Bengio, P. Simard, and P. Frasconi, "Learning long-term dependencies with gradient is difficult," IEEE Trans. Neural Networks, vol. 5, pp. 157-166, 1994.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, pp. 157-166
-
-
Bengio, Y.1
Simard, P.2
Frasconi, P.3
-
3
-
-
0025448276
-
Nonlinear system identification using neural networks
-
S. Chen, S. A. Billings, and P. M. Grant, "Nonlinear 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.A.2
Grant, P.M.3
-
4
-
-
0344111838
-
Recurrent networks and NARMA modeling
-
J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann
-
J. Connor, L. E. Atlas, and D. R. Martin, "Recurrent networks and NARMA modeling." in Advances in Neural Information Processing Systems 4, J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann, 1992, pp. 301-308.
-
(1992)
Advances in Neural Information Processing Systems
, vol.4
, pp. 301-308
-
-
Connor, J.1
Atlas, L.E.2
Martin, D.R.3
-
5
-
-
84966250408
-
Pseudo-orbit shadowing in the family of tent maps
-
E. Coven, I. Kan, and J. Yorke, "Pseudo-orbit shadowing in the family of tent maps," Trans. Amer. Med. Soc., vol. 308, pp. 227-241, 1988.
-
(1988)
Trans. Amer. Med. Soc.
, vol.308
, pp. 227-241
-
-
Coven, E.1
Kan, I.2
Yorke, J.3
-
6
-
-
0026895542
-
The gamma model - A new neural model for temporal processing
-
B. de Vries and J. C. Principe, "The gamma model - A new neural model for temporal processing," Neural Networks, vol. 5, pp. 565-576, 1992.
-
(1992)
Neural Networks
, vol.5
, pp. 565-576
-
-
De Vries, B.1
Principe, J.C.2
-
7
-
-
26444565569
-
Finding structure in time
-
J. E. Elman, "Finding structure in time," Cognitive Sci., vol. 14, pp. 179-211, 1990.
-
(1990)
Cognitive Sci.
, vol.14
, pp. 179-211
-
-
Elman, J.E.1
-
8
-
-
0029291395
-
Unified integration of explicit rules and learning by example in recurrent networks
-
P. Frasconi, M. Gori, M. Maggini, and G. Soda, "Unified integration of explicit rules and learning by example in recurrent networks," IEEE Trans. Knowledge Data Eng., vol. 7, pp. 340-346, 1995.
-
(1995)
IEEE Trans. Knowledge Data Eng.
, vol.7
, pp. 340-346
-
-
Frasconi, P.1
Gori, M.2
Maggini, M.3
Soda, G.4
-
9
-
-
0001657855
-
Local feedback multilayered networks
-
P. Frasconi, M. Gori, and G. Soda, "Local feedback multilayered networks," Neural Computa. vol. 4, pp. 120-130, 1992.
-
(1992)
Neural Computa.
, vol.4
, pp. 120-130
-
-
Frasconi, P.1
Gori, M.2
Soda, G.3
-
10
-
-
33747960254
-
Observability of neural-network behavior
-
J. D. Cowen, G. Tesauro, and J. Alspector, Eds. San Mateo, CA: Morgan Kaufmann
-
M. Garzon and F. Botelho, "Observability of neural-network behavior," in Advances in Neural Information Processing Systems 6, J. D. Cowen, G. Tesauro, and J. Alspector, Eds. San Mateo, CA: Morgan Kaufmann, 1994, pp. 455-462.
-
(1994)
Advances in Neural Information Processing Systems 6
, pp. 455-462
-
-
Garzon, M.1
Botelho, F.2
-
12
-
-
0011837459
-
Scheduling of modular architectures for inductive inference of regular grammars
-
Amsterdam, The Netherlands, Aug.
-
M. Gori, M. Maggini, and G. Soda, "Scheduling of modular architectures for inductive inference of regular grammars," in Proc. ECAI'94 Wkshp. Combining Symbolic Connectionist Procedures, Amsterdam, The Netherlands, Aug. 1994, pp. 78-87.
-
(1994)
Proc. ECAI'94 Wkshp. Combining Symbolic Connectionist Procedures
, pp. 78-87
-
-
Gori, M.1
Maggini, M.2
Soda, G.3
-
13
-
-
0003331189
-
Hierarchical recurrent neural networks for long-term dependencies
-
Cambridge, MA: MIT Press
-
S. El Hihi and Y. Bengio, "Hierarchical recurrent neural networks for long-term dependencies," in Neural Information Processing Systems 8. Cambridge, MA: MIT Press, 1996.
-
(1996)
Neural Information Processing Systems
, vol.8
-
-
El Hihi, S.1
Bengio, Y.2
-
14
-
-
84886287164
-
Long short-term memory
-
Institut für Informatik, Technische Universität München, Germany
-
S. Hochreiter and J. Schmidhuber, "Long short-term memory," Forschungsberichte Künstliche Intelligenz FKI-207-95, Institut für Informatik, Technische Universität München, Germany, 1995.
-
(1995)
Forschungsberichte Künstliche Intelligenz FKI-207-95
-
-
Hochreiter, S.1
Schmidhuber, J.2
-
15
-
-
0001039722
-
An experimental comparison of recurrent neural networks
-
Cambridge, MA: MIT Press
-
B. G. Horne and C. L. Giles, "An experimental comparison of recurrent neural networks," in Advances in Neural Information Processing Systems 7. Cambridge, MA: MIT Press, 1995, pp. 697-704.
-
(1995)
Advances in Neural Information Processing Systems7
, pp. 697-704
-
-
Horne, B.G.1
Giles, C.L.2
-
16
-
-
0003792312
-
-
Englewood Cliffs, NJ: Prentice-Hall
-
T. Kailath, Linear Systems. Englewood Cliffs, NJ: Prentice-Hall, 1980.
-
(1980)
Linear Systems
-
-
Kailath, T.1
-
19
-
-
0022011031
-
Input-output parametric models for nonlinear systems: Part I: Deterministic nonlinear systems
-
I. J. Leontaritis and S. A. Billings, "Input-output parametric models for nonlinear systems: Part I: Deterministic nonlinear systems," Int. J. Contr., vol. 41, no. 2, pp. 303-328, 1985.
-
(1985)
Int. J. Contr.
, vol.41
, Issue.2
, pp. 303-328
-
-
Leontaritis, I.J.1
Billings, S.A.2
-
21
-
-
0005316958
-
Induction of multiscale temporal structure
-
J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann
-
M. C. Mozer, "Induction of multiscale temporal structure," in Neural Information Processing Systems 4, J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann, 1992, pp. 275-282.
-
(1992)
Neural Information Processing Systems 4
, pp. 275-282
-
-
Mozer, M.C.1
-
22
-
-
0025399567
-
Identification and control of dynamical systems using neural networks
-
Mar.
-
K. S. Narendra and K. Parthasarathy, "Identification and control of dynamical systems using neural networks," IEEE Trans. Neural Networks, vol. 1, pp. 4-27, Mar. 1990.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, pp. 4-27
-
-
Narendra, K.S.1
Parthasarathy, K.2
-
23
-
-
0001382203
-
Neural networks and nonlinear adaptive filtering: Unifying concepts and new algorithms
-
O. Nerrand, P. Roussel-Ragot, L. Personnaz, G. Dreyfus, and S. Marcos, "Neural networks and nonlinear adaptive filtering: Unifying concepts and new algorithms," Neural Computa., vol. 5, pp. 165-199, 1993.
-
(1993)
Neural Computa.
, vol.5
, pp. 165-199
-
-
Nerrand, O.1
Roussel-Ragot, P.2
Personnaz, L.3
Dreyfus, G.4
Marcos, S.5
-
25
-
-
0028401031
-
Neurocontrol of nonlinear dynamical systems with Kalman filter-trained recurrent networks
-
G. V. Puskorius and L. A. Feldkamp, "Neurocontrol of nonlinear dynamical systems with Kalman filter-trained recurrent networks," IEEE Trans. Neural Networks, vol. 5, pp. 279-297, 1994.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, pp. 279-297
-
-
Puskorius, G.V.1
Feldkamp, L.A.2
-
26
-
-
0026626377
-
Comparison of four neural-net learning methods for dynamic system identification
-
S.-Z. Qin, H.-T. Su, and T. J. McAvoy, "Comparison of four neural-net learning methods for dynamic system identification," IEEE Trans. Neural Networks, vol. 3, pp. 122-130, 1992.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 122-130
-
-
Qin, S.-Z.1
Su, H.-T.2
McAvoy, T.J.3
-
27
-
-
0000646059
-
Learning internal representations by error propagation
-
D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," in Parallel Distributed Processing: Explorations in the Microstructure of Cognition, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT Press, 1986, pp. 318-362.
-
(1986)
Parallel Distributed Processing: Explorations in the Microstructure of Cognition
, pp. 318-362
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
28
-
-
0001033889
-
Learning complex, extended sequences using the principle of history compression
-
J. Schmidhuber, "Learning complex, extended sequences using the principle of history compression," Neural Computa., vol. 4, no. 2, pp. 234-242, 1992.
-
(1992)
Neural Computa.
, vol.4
, Issue.2
, pp. 234-242
-
-
Schmidhuber, J.1
-
29
-
-
0348068168
-
Learning unambiguous reduced sequence descriptions
-
J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann
-
_, "Learning unambiguous reduced sequence descriptions," in Advances in Neural Information Processing Systems 4, J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann, 1992, pp. 291-298.
-
(1992)
Advances in Neural Information Processing Systems 4
, pp. 291-298
-
-
-
30
-
-
0026685375
-
A structure by which a recurrent neural network can approximate a nonlinear dynamic system
-
July
-
D. R. Seidl and D. Lorenz, "A structure by which a recurrent neural network can approximate a nonlinear dynamic system," in Proc. Int. Joint Conf. Neural Networks, vol. 2, July 1991, pp. 709-714.
-
(1991)
Proc. Int. Joint Conf. Neural Networks
, vol.2
, pp. 709-714
-
-
Seidl, D.R.1
Lorenz, D.2
-
31
-
-
11244344305
-
Computational capabilities of recurrent narx neural networks
-
to be published. Also, Univ. Maryland, College Park, MD, Tech. Rep. UMIACS-TR-95-78 and CS-TR-3500
-
H. T. Siegelmann, B. G. Horne, and C. L. Giles, "Computational capabilities of recurrent narx neural networks," IEEE Trans. Syst., Man, Cybern., to be published. Also, Univ. Maryland, College Park, MD, Tech. Rep. UMIACS-TR-95-78 and CS-TR-3500.
-
IEEE Trans. Syst., Man, Cybern.
-
-
Siegelmann, H.T.1
Horne, B.G.2
Giles, C.L.3
-
32
-
-
0029255891
-
On the computational power of neural networks
-
H. T. Siegelmann and E. D. Sontag, "On the computational power of neural networks," J. Comput. Syst. Sci., vol. 50, no. 1, pp. 132-150, 1995.
-
(1995)
J. Comput. Syst. Sci.
, vol.50
, Issue.1
, pp. 132-150
-
-
Siegelmann, H.T.1
Sontag, E.D.2
-
34
-
-
0026373081
-
Identification of chemical processes using recurrent networks
-
H.-T. Su and T. J. McAvoy, "Identification of chemical processes using recurrent networks," in Proc. Amer. Contr. Conf., vol. 3, 1991, pp. 2314-2319.
-
(1991)
Proc. Amer. Contr. Conf.
, vol.3
, pp. 2314-2319
-
-
Su, H.-T.1
McAvoy, T.J.2
-
35
-
-
0026868901
-
Long-term predictions of chemical processes using recurrent neural networks: A parallel training approach
-
H.-T. Su, T. J. McAvoy, and P. Werbo, "Long-term predictions of chemical processes using recurrent neural networks: A parallel training approach," Ind. Eng. Chem. Res., vol. 31, pp. 1338-1352, 1992.
-
(1992)
Ind. Eng. Chem. Res.
, vol.31
, pp. 1338-1352
-
-
Su, H.-T.1
McAvoy, T.J.2
Werbo, P.3
-
36
-
-
33747994891
-
On encoding nonlinear oscillations in neural networks for locomotion
-
S. T. Venkataraman, "On encoding nonlinear oscillations in neural networks for locomotion," in Proc. 8th Yale Wkshp. Adaptive Learning Syst.s, 1994, pp. 14-20.
-
(1994)
Proc. 8th Yale Wkshp. Adaptive Learning Syst.s
, pp. 14-20
-
-
Venkataraman, S.T.1
-
37
-
-
0000358422
-
Time series prediction by using a connectionist network with internal delay lines
-
A. S. Weigend and N. A. Gershenfeld, Eds. Reading, MA: Addison-Wesley
-
E. A. Wan, "Time series prediction by using a connectionist network with internal delay lines," in Time Series Prediction, A. S. Weigend and N. A. Gershenfeld, Eds. Reading, MA: Addison-Wesley, 1994, pp. 195-217.
-
(1994)
Time Series Prediction
, pp. 195-217
-
-
Wan, E.A.1
-
38
-
-
0001765578
-
Gradient-based learning algorithms for recurrent networks and their computational complexity
-
Y. Chauvin and D. E. Rumelhart, Eds. Hillsdale, NJ: Lawrence Erlbaum, ch. 13
-
R. J. Williams and D. Zipser, "Gradient-based learning algorithms for recurrent networks and their computational complexity," in Backpropagation: Theory, Architectures, and Applications, Y. Chauvin and D. E. Rumelhart, Eds. Hillsdale, NJ: Lawrence Erlbaum, 1995, ch. 13, pp. 433-486.
-
(1995)
Backpropagation: Theory, Architectures, and Applications
, pp. 433-486
-
-
Williams, R.J.1
Zipser, D.2
|