-
1
-
-
0023847221
-
On the stability, storage capacity, and design of nonlinear continuous neural networks
-
Guez A., Protopopsecu V., Barhen J.: On the stability, storage capacity, and design of nonlinear continuous neural networks. IEEE Trans. Syst. Man Cybernet. 18(1), 80-87 (1988).
-
(1988)
IEEE Trans. Syst. Man Cybernet.
, vol.18
, Issue.1
, pp. 80-87
-
-
Guez, A.1
Protopopsecu, V.2
Barhen, J.3
-
2
-
-
0025405546
-
Stability in contractive nonlinear neural networks
-
Kelly D. G.: Stability in contractive nonlinear neural networks. IEEE Trans. Biomed. Eng. 37, 231-242 (1990).
-
(1990)
IEEE Trans. Biomed. Eng.
, vol.37
, pp. 231-242
-
-
Kelly, D.G.1
-
3
-
-
43949155364
-
On global asymptotic stability of a class of nonlinear systems arising in neural network theory
-
Forti M.: On global asymptotic stability of a class of nonlinear systems arising in neural network theory. J. Differ. Equ. 113, 246-264 (1994).
-
(1994)
J. Differ. Equ.
, vol.113
, pp. 246-264
-
-
Forti, M.1
-
4
-
-
0029345226
-
New Conditions for global stability of neural networks with application to linear and quadratic programming problems
-
Forti M., Tesi A.: New Conditions for global stability of neural networks with application to linear and quadratic programming problems. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 42(7), 354-366 (1995).
-
(1995)
IEEE Trans. Circuits Syst. I Fundam. Theory Appl.
, vol.42
, Issue.7
, pp. 354-366
-
-
Forti, M.1
Tesi, A.2
-
5
-
-
0030194344
-
Stability analysis of dynamical neural networks
-
Fang Y., Kincaid T. G.: Stability analysis of dynamical neural networks. IEEE Trans. Neural Netw. 7(4), 996-1005 (1996).
-
(1996)
IEEE Trans. Neural Netw.
, vol.7
, Issue.4
, pp. 996-1005
-
-
Fang, Y.1
Kincaid, T.G.2
-
6
-
-
0036755232
-
Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach
-
Liao X., Chen G., Sanchez Edgar N.: Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach. Neural Netw. 15(7), 855-866 (2002).
-
(2002)
Neural Netw.
, vol.15
, Issue.7
, pp. 855-866
-
-
Liao, X.1
Chen, G.2
Sanchez Edgar, N.3
-
7
-
-
0036825795
-
Local structural stability of recurrent networks with time-varying weights
-
Steil J. J.: Local structural stability of recurrent networks with time-varying weights. Neurocomputing 48(1), 39-51 (2002).
-
(2002)
Neurocomputing
, vol.48
, Issue.1
, pp. 39-51
-
-
Steil, J.J.1
-
10
-
-
0034186923
-
New results on recurrent network training: unifying the algorithms and accelerating convergence
-
Atiya A. F., Parlos A. G.: New results on recurrent network training: unifying the algorithms and accelerating convergence. IEEE Trans. Neural Netw. 11(3), 697-709 (2000).
-
(2000)
IEEE Trans. Neural Netw.
, vol.11
, Issue.3
, pp. 697-709
-
-
Atiya, A.F.1
Parlos, A.G.2
-
11
-
-
0033344089
-
Recurrent learning of input-output stable behaviour in function space: a case study with the Roessler attractor
-
Steil, J. J., Ritter, H.: Recurrent learning of input-output stable behaviour in function space: a case study with the Roessler attractor. In: Proceedings of ICANN, pp. 761-766, 1999.
-
(1999)
Proceedings of ICANN
, pp. 761-766
-
-
Steil, J.J.1
Ritter, H.2
-
12
-
-
32544455147
-
Online stability of backpropagation-decorrelation recurrent learning
-
Steil J. J.: Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing 69(7-9), 642-650 (2006).
-
(2006)
Neurocomputing
, vol.69
, Issue.7-9
, pp. 642-650
-
-
Steil, J.J.1
-
13
-
-
1842421269
-
Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication
-
Jäger H., Haas H.: Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication. Science 304(5667), 78-80 (2004).
-
(2004)
Science
, vol.304
, Issue.5667
, pp. 78-80
-
-
Jäger, H.1
Haas, H.2
-
14
-
-
1842436050
-
The "echo state" approach to analysing and training recurrent neural networks
-
Jäger, H.: The "echo state" approach to analysing and training recurrent neural networks. GMD Report 148, 2001.
-
(2001)
GMD Report
, vol.148
-
-
Jäger, H.1
-
15
-
-
0036834701
-
Real-time computing without stable states: a new framework for neural computation based on perturbations
-
Maass W., Natschläger T., Markram H.: Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput. 14(11), 2531-2560 (2002).
-
(2002)
Neural Comput.
, vol.14
, Issue.11
, pp. 2531-2560
-
-
Maass, W.1
Natschläger, T.2
Markram, H.3
-
16
-
-
10944225085
-
Backpropagation-decorrelation: recurrent learning with O(N) complexity
-
Steil, J. J.: Backpropagation-decorrelation: recurrent learning with O(N) complexity. In: Proceedings of IJCNN, vol. 1, pp. 843-848, 2004.
-
(2004)
Proceedings of IJCNN
, vol.1
, pp. 843-848
-
-
Steil, J.J.1
-
17
-
-
34249815487
-
An experimental unification of reservoir computing methods
-
Verstraeten D., Schrauwen B., D'Haene M., Stroobandt D.: An experimental unification of reservoir computing methods. Neural Netw. 20, 391-403 (2007).
-
(2007)
Neural Netw.
, vol.20
, pp. 391-403
-
-
Verstraeten, D.1
Schrauwen, B.2
D'Haene, M.3
Stroobandt, D.4
-
18
-
-
70350553030
-
Efficient exploration and learning of whole body kinematics
-
Rolf, M., Steil, J. J., Gienger, M.: Efficient exploration and learning of whole body kinematics. In: IEEE 8th international conference on Development and learning, pp. 1-7, 2009.
-
(2009)
IEEE 8th international conference on Development and learning
, pp. 1-7
-
-
Rolf, M.1
Steil, J.J.2
Gienger, M.3
-
19
-
-
34249811184
-
Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning
-
Steil Jochen J.: Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Netw. 20(3), 353-364 (2007).
-
(2007)
Neural Netw.
, vol.20
, Issue.3
, pp. 353-364
-
-
Steil Jochen, J.1
-
20
-
-
34249938474
-
Optimization and applications of echo state networks with leaky integrator neurons
-
Jaeger H., Lukoševičius M., Popovici D., Siewert U.: Optimization and applications of echo state networks with leaky integrator neurons. Neural Netw. 20, 335-352 (2007).
-
(2007)
Neural Netw.
, vol.20
, pp. 335-352
-
-
Jaeger, H.1
Lukoševičius, M.2
Popovici, D.3
Siewert, U.4
-
21
-
-
33846023013
-
Analysis and design of echo state networks
-
Ozturk M. C., Xu D., Principe J. C.: Analysis and design of echo state networks. Neural Comput. 19(1), 111-138 (2007).
-
(2007)
Neural Comput.
, vol.19
, Issue.1
, pp. 111-138
-
-
Ozturk, M.C.1
Xu, D.2
Principe, J.C.3
-
22
-
-
32444434467
-
Modeling systems with internal state using evolino
-
Wierstra, D., Gomez, F. J., Schmidhuber, J.: Modeling systems with internal state using evolino. In: Genetic and evolutionary computation conference, pp. 1795-1802, 2005.
-
(2005)
Genetic and evolutionary computation conference
, pp. 1795-1802
-
-
Wierstra, D.1
Gomez, F.J.2
Schmidhuber, J.3
-
23
-
-
1842488370
-
Short term memory in echo state networks
-
Jäger, H.: Short term memory in echo state networks. GMD Report 152, 2002.
-
(2002)
GMD Report
, vol.152
-
-
Jäger, H.1
-
24
-
-
58849145264
-
Stable output feedback in reservoir computing using ridge regression
-
Wyffels, F., Schrauwen, B., Stroobandt, D.: Stable output feedback in reservoir computing using ridge regression. In: ICANN, pp. 808-817, 2008.
-
(2008)
ICANN
, pp. 808-817
-
-
Wyffels, F.1
Schrauwen, B.2
Stroobandt, D.3
-
26
-
-
12144261601
-
Analyzing the weight dynamics of recurrent learning algorithms
-
Schiller U. D., Steil J. J.: Analyzing the weight dynamics of recurrent learning algorithms. Neurocomputing 63C, 5-23 (2005).
-
(2005)
Neurocomputing
, vol.63 C
, pp. 5-23
-
-
Schiller, U.D.1
Steil, J.J.2
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