-
1
-
-
51249194645
-
A logical calculus of the ideas immanent in nervous activity
-
W. McCulloch and W. Pitts, "A logical calculus of the ideas immanent in nervous activity," Bull. Math. Biophys., vol. 5, pp. 115-133, 1943.
-
(1943)
Bull. Math. Biophys.
, vol.5
, pp. 115-133
-
-
McCulloch, W.1
Pitts, W.2
-
3
-
-
0011252246
-
Efficient simulation of finite automata by neural nets
-
N. Alon, A. Dewdney, and T. Ott, "Efficient simulation of finite automata by neural nets," J. Assoc. Comput. Mach., vol. 38, no. 2, pp. 495-514, 1991.
-
(1991)
J. Assoc. Comput. Mach.
, vol.38
, Issue.2
, pp. 495-514
-
-
Alon, N.1
Dewdney, A.2
Ott, T.3
-
4
-
-
0030110968
-
Bounds on the complexity of recurrent neural network implementations of finite state machines
-
B. Horne and D. Hush, "Bounds on the complexity of recurrent neural network implementations of finite state machines," Neural Networks, vol. 9, no. 2, pp. 243-252, 1996.
-
(1996)
Neural Networks
, vol.9
, Issue.2
, pp. 243-252
-
-
Horne, B.1
Hush, D.2
-
5
-
-
0008543778
-
The complexity of language recognition by neural networks
-
J. van Leeuwen, Ed. North-Holland: Amsterdam
-
H. Siegelmann, E. Sontag, and C. Giles, "The complexity of language recognition by neural networks," in Algorithms, Software, Architecture (Proc. IFIP 12th World Computer Congr.), J. van Leeuwen, Ed. North-Holland: Amsterdam, 1992; pp. 329-335.
-
(1992)
Algorithms, Software, Architecture (Proc. IFIP 12th World Computer Congr.)
, pp. 329-335
-
-
Siegelmann, H.1
Sontag, E.2
Giles, C.3
-
7
-
-
0002663413
-
Turing computability with neural nets
-
H. Siegelmann and E. Sontag, "Turing computability with neural nets," Appl. Math. Lett., vol. 4, no. 6, pp. 77-80, 1991.
-
(1991)
Appl. Math. Lett.
, vol.4
, Issue.6
, pp. 77-80
-
-
Siegelmann, H.1
Sontag, E.2
-
8
-
-
0029255891
-
On the computational power of neural networks
-
_, "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
-
-
-
9
-
-
0028500244
-
Analog computation via neural networks
-
_, "Analog computation via neural networks," Theor. Comput. Sci.. vol. 131, pp. 331-360, 1994.
-
(1994)
Theor. Comput. Sci.
, vol.131
, pp. 331-360
-
-
-
10
-
-
0022011031
-
Input-output parametric models for nonlinear systems: Part I: deterministic nonlinear systems
-
I. Leontaritis and S. Billings, "Input-output parametric models for nonlinear systems: Part I: deterministic nonlinear systems," Int. J. Control, vol. 41, no. 2, pp. 303-328, 1985.
-
(1985)
Int. J. Control
, vol.41
, Issue.2
, pp. 303-328
-
-
Leontaritis, I.1
Billings, S.2
-
11
-
-
0025448276
-
Non-linear system identification using neural networks
-
S. Chen, S. Billings, and P. Grant, "Non-linear system identification using neural networks," Int. J. Control, vol. 51, no. 6, pp. 1191-1214, 1990.
-
(1990)
Int. J. Control
, vol.51
, Issue.6
, pp. 1191-1214
-
-
Chen, S.1
Billings, S.2
Grant, P.3
-
12
-
-
0025399567
-
Identification and control of dynamical systems using neural networks
-
Mar.
-
K. 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.1
Parthasarathy, K.2
-
13
-
-
0026373081
-
Identification of chemical processes using recurrent networks
-
H.-T. Su and T. McAvoy, "Identification of chemical processes using recurrent networks," in Proc. American Controls Conf., vol. 3, 1991, pp. 2314-2319.
-
(1991)
Proc. American Controls Conf.
, vol.3
, pp. 2314-2319
-
-
Su, H.-T.1
McAvoy, T.2
-
14
-
-
0026868901
-
Long-term predictions of chemical processes using recurrent neural networks: A parallel training approach
-
H.-T. Su, T. McAvoy, and P. Werbos, "Long-term predictions of chemical processes using recurrent neural networks: A parallel training approach," Industrial Engineering and Chemical Research, vol. 31, pp. 1338-1352, 1992.
-
(1992)
Industrial Engineering and Chemical Research
, vol.31
, pp. 1338-1352
-
-
Su, H.-T.1
McAvoy, T.2
Werbos, P.3
-
16
-
-
0026626377
-
Comparison of four neural net learning methods for dynamic system identifcation
-
S.-Z. Qin, H.-T. Su, and T. McAvoy, "Comparison of four neural net learning methods for dynamic system identifcation," IEEE Trans. Neural Networks, vol. 3, no. 1, pp. 122-130, 1992.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.1
, pp. 122-130
-
-
Qin, S.-Z.1
Su, H.-T.2
McAvoy, T.3
-
18
-
-
0001039722
-
An experimental comparison of recurrent neural networks
-
G. Tesauro, D. Touretzky, and T. Leen, Eds. Cambridge, MA: MIT Press
-
B. Horne and C. Giles, "An experimental comparison of recurrent neural networks," in Advances in Neural Information Processing Systems 7, G. Tesauro, D. Touretzky, and T. Leen, Eds. Cambridge, MA: MIT Press, 1995, pp. 697-704.
-
(1995)
Advances in Neural Information Processing Systems 7
, pp. 697-704
-
-
Horne, B.1
Giles, C.2
-
19
-
-
0028392483
-
Learning long-term dependencies with gradient descent is difficult
-
Y. Benigo, P. Simard, and P. Frasconi, "Learning long-term dependencies with gradient descent is difficult," IEEE Trans. Neural Networks, vol. 5, no. 2, pp. 157-166, 1994.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, Issue.2
, pp. 157-166
-
-
Benigo, Y.1
Simard, P.2
Frasconi, P.3
-
20
-
-
33646241633
-
Learning long-term dependencies is not as difficult with NARX recurrent neural networks
-
T. Lin. B. Horne, P. Tiňo, and C. Giles, "Learning long-term dependencies is not as difficult with NARX recurrent neural networks," IEEE Trans. Neural Networks, vol. 7, no. 6, 1996.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, Issue.6
-
-
Lin, T.1
Horne, B.2
Tiňo, P.3
Giles, C.4
-
21
-
-
0024861871
-
Approximation by superpositions of a signoidal function
-
G. Cybenko, "Approximation by superpositions of a signoidal function," Mathematics of Control, Signals, and Systems, vol. 2, no. 4, pp. 303-314, 1989.
-
(1989)
Mathematics of Control, Signals, and Systems
, vol.2
, Issue.4
, pp. 303-314
-
-
Cybenko, G.1
-
22
-
-
0024866495
-
On the approximate realization of continuous mappings by neural networks
-
K. Funahashi, "On the approximate realization of continuous mappings by neural networks," Neural Networks, vol. 2, no. 3, pp. 183-192, 1989.
-
(1989)
Neural Networks
, vol.2
, Issue.3
, pp. 183-192
-
-
Funahashi, K.1
-
25
-
-
0029560406
-
Learning a class of large finite state machines with a ecurrent neural network
-
C. Giles, B. Horne, and T. Lin, "Learning a class of large finite state machines with a ecurrent neural network," Neural Networks, vol. 8, no. 9, p. 1359, 1996..
-
(1996)
Neural Networks
, vol.8
, Issue.9
, pp. 1359
-
-
Giles, C.1
Horne, B.2
Lin, T.3
-
26
-
-
0001460434
-
The induction of dynamical recognizers
-
J. Pollack, "The induction of dynamical recognizers," Mach. Learn., vol. 7, no. 2/3, pp. 227-252, 1991.
-
(1991)
Mach. Learn.
, vol.7
, Issue.2-3
, pp. 227-252
-
-
Pollack, J.1
-
27
-
-
0000029787
-
FIR and IIR synapses, a new neural network architecture for time series modeling
-
A. Back and A. Tsoi, "FIR and IIR synapses, a new neural network architecture for time series modeling," Neural Computation, vol. 3, no. 3, pp. 375-385, 1991.
-
(1991)
Neural Computation
, vol.3
, Issue.3
, pp. 375-385
-
-
Back, A.1
Tsoi, A.2
-
28
-
-
0026895542
-
The gamma model-A new neural model for temporal processing
-
B. de Vries and J. 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.2
-
29
-
-
0001657855
-
Local feedback multilayered networks
-
P. Frasconi, M. Gori, and G. Soda, "Local feedback multilayered networks," Neural Computation, vol. 4, pp. 120-130, 1992.
-
(1992)
Neural Computation
, vol.4
, pp. 120-130
-
-
Frasconi, P.1
Gori, M.2
Soda, G.3
-
30
-
-
33747998553
-
Constructing deterministic finite-state automata in recurrent neural networks
-
C. W. Omlin and C. L. Giles, "Constructing deterministic finite-state automata in recurrent neural networks," J. Assoc. Comput. Mach., 1997.
-
(1997)
J. Assoc. Comput. Mach.
-
-
Omlin, C.W.1
Giles, C.L.2
|