-
1
-
-
51749120550
-
Reservoir optimization in recurrent neural networks using Kronecker kernels
-
Ajdari Rad, A., Jalili, M., and Hasler, M., Reservoir optimization in recurrent neural networks using Kronecker kernels, In Proceedings of the IEEE International Symposium on Circuits and Systems, pp. 868-871, 2008.
-
(2008)
Proceedings of the IEEE International Symposium on Circuits and Systems
, pp. 868-871
-
-
Ajdari Rad, A.1
Jalili, M.2
Hasler, M.3
-
2
-
-
0034186923
-
New results on recurrent network training: unifying the algorithms and accelerating convergence
-
Atiya, A.F. and Parlos, A.G., New results on recurrent network training: unifying the algorithms and accelerating convergence, IEEE Transaction on Neural Networks, vol. 11, no. 3, pp. 697-709, 2000.
-
(2000)
IEEE Transaction on Neural Networks
, vol.11
, Issue.3
, pp. 697-709
-
-
Atiya, A.F.1
Parlos, A.G.2
-
3
-
-
0022150259
-
Fading memory and the problem of approximating nonlinear operators with Volterra series
-
Boyd, S. and Chua, L.O., Fading memory and the problem of approximating nonlinear operators with Volterra series, IEEE Transactions on Circuits and Systems, vol. 32, pp. 1150-1161, 1985.
-
(1985)
IEEE Transactions on Circuits and Systems
, vol.32
, pp. 1150-1161
-
-
Boyd, S.1
Chua, L.O.2
-
4
-
-
33646536035
-
A tighter bound for the echo state property
-
Buehner, M., and Young, P., A tighter bound for the echo state property, IEEE Transactions on Neural Networks, vol. 17, no. 3, pp. 820-824, 2006.
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.3
, pp. 820-824
-
-
Buehner, M.1
Young, P.2
-
6
-
-
51749086036
-
Reservoir size reduction in echo state networks for classification problems
-
Dutoit, X., Van Brussel, H., and Nuttin, M., Reservoir size reduction in echo state networks for classification problems, In Proceedings of the Neural Information Processing Systems: Workshop on Echo State Networks and Liquid State Machines, 2006.
-
(2006)
Proceedings of the Neural Information Processing Systems: Workshop on Echo State Networks and Liquid State Machines
-
-
Dutoit, X.1
Van Brussel, H.2
Nuttin, M.3
-
7
-
-
61849181483
-
Pruning and regularization in reservoir computing
-
Dutoit, X., Schrauwen, B., Campenhout, J, Van Stroobandt, D., Van Brussel, H., and Nuttin, M., Pruning and regularization in reservoir computing, Neurocomputing, Vol. 72, No. 7-9, pp. 1534-1546, 2009.
-
(2009)
Neurocomputing
, vol.72
, Issue.7-9
, pp. 1534-1546
-
-
Dutoit, X.1
Schrauwen, B.2
Campenhout, J.3
Van Stroobandt, D.4
Van Brussel, H.5
Nuttin, M.6
-
8
-
-
0344592212
-
Enhanced multi-stream Kalman filter training for recurrent neural networks
-
Suykens J. and Vandewalle, J., (eds), Kluwer
-
Feldkamp, L.A., Prokhorov, D.V., Eagen, C.F., and Yuan, F., Enhanced multi-stream Kalman filter training for recurrent neural networks, In Suykens J. and Vandewalle, J., (eds), Nonlinear Modeling: Advanced Black-Box Techniques, pp. 29-54, Kluwer, 1998.
-
(1998)
Nonlinear Modeling: Advanced Black-Box Techniques
, pp. 29-54
-
-
Feldkamp, L.A.1
Prokhorov, D.V.2
Eagen, C.F.3
Yuan, F.4
-
9
-
-
84887010605
-
Recent advances in efficient learning of recurrent networks
-
Brugge: d-facto
-
Hammer, B., Schrauwen, B., and Steil, J., Recent advances in efficient learning of recurrent networks, In Proceedings of European Symposium on Artificial Neural Networks (ESANN 2009), Brugge: d-facto, pp. 213-226, 2009.
-
(2009)
Proceedings of European Symposium on Artificial Neural Networks (ESANN 2009)
, pp. 213-226
-
-
Hammer, B.1
Schrauwen, B.2
Steil, J.3
-
10
-
-
0020118274
-
Neural networks and physical systems with emergent collective computational abilities
-
Hopfield, J., Neural networks and physical systems with emergent collective computational abilities, Proceedings of the National Academy of Sciences of the USA, vol. 79, no. 8, pp. 2554-2558, 1982.
-
(1982)
Proceedings of the National Academy of Sciences of the USA
, vol.79
, Issue.8
, pp. 2554-2558
-
-
Hopfield, J.1
-
11
-
-
19644372764
-
Identification of motion with echo state network
-
Ishii, K., van der Zant, T., Vlatko Becanovic, V., and Ploger, P., Identification of motion with echo state network, In Proceedings of the IEEE OCEANS, pages 1205-1210, 2004.
-
(2004)
Proceedings of the IEEE OCEANS
, pp. 1205-1210
-
-
Ishii, K.1
van der Zant, T.2
Vlatko Becanovic, V.3
Ploger, P.4
-
12
-
-
1842488370
-
-
GMD report 152, German National Research Center for Information Technology
-
Jaeger, H., Short term memory in echo state networks, GMD report 152, German National Research Center for Information Technology, 2001.
-
(2001)
Short term memory in echo state networks
-
-
Jaeger, H.1
-
13
-
-
34249938474
-
Optimization and applications of echo state networks with leaky integrator neurons
-
Jaeger, H., Lukoševičius, M., Popovici, D., and Siewert, U., Optimization and applications of echo state networks with leaky integrator neurons, Neural Networks, vol. 20, no. 3, pp. 335-352, 2007.
-
(2007)
Neural Networks
, vol.20
, Issue.3
, pp. 335-352
-
-
Jaeger, H.1
Lukoševičius, M.2
Popovici, D.3
Siewert, U.4
-
15
-
-
1842421269
-
Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless telecommunication
-
Jaeger, H., and Haas, H. Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless telecommunication, Science, vol. 308, no. 5667, pp. 78-80, 2004.
-
(2004)
Science
, vol.308
, Issue.5667
, pp. 78-80
-
-
Jaeger, H.1
Haas, H.2
-
16
-
-
56449131435
-
Supervised and evolutionary learning of echo state networks
-
Jiang, F., Berry, H., and Schoenauer, M., Supervised and evolutionary learning of echo state networks, Proceedings of 10th International Conference on Parallel Problem Solving From Nature, pp. 215-224, 2008.
-
(2008)
Proceedings of 10th International Conference on Parallel Problem Solving From Nature
, pp. 215-224
-
-
Jiang, F.1
Berry, H.2
Schoenauer, M.3
-
17
-
-
35048860970
-
Movement generation and control with generic neural microcircuits
-
Ijspeert, A., Murata, M., and Wakamiya, N., (eds.), Lecture Notes in Computer Science
-
Joshi, P. and Maass, W., Movement generation and control with generic neural microcircuits, In Ijspeert, A., Murata, M., and Wakamiya, N., (eds.) Biologically Inspired Approaches to Advanced Information Technology, Lecture Notes in Computer Science, vol. 3141, pp. 258-273, 2004.
-
(2004)
Biologically Inspired Approaches to Advanced Information Technology
, vol.3141
, pp. 258-273
-
-
Joshi, P.1
Maass, W.2
-
18
-
-
0001713459
-
The dynamic universality of sigmoidal neural networks
-
Kilian J., and Siegelmann, H., The dynamic universality of sigmoidal neural networks, Information and Computation, vol. 128, pp. 48-56, 1996.
-
(1996)
Information and Computation
, vol.128
, pp. 48-56
-
-
Kilian, J.1
Siegelmann, H.2
-
22
-
-
68649088777
-
Reservoir Computing Approaches to Recurrent Neural Network Training
-
to appear
-
Lukoševičius, M. and Jaeger H., Reservoir Computing Approaches to Recurrent Neural Network Training, to appear Computer Science Review, 2009.
-
(2009)
Computer Science Review
-
-
Lukoševičius, M.1
Jaeger, H.2
-
23
-
-
28644432156
-
Fading memory and kernel properties of generic cortical microcircuit models
-
Maass, W., Natschlager, T., and Markram, H., Fading memory and kernel properties of generic cortical microcircuit models, Journal of Physiology, vol. 98, no. 4-6, pp. 315-330, 2004.
-
(2004)
Journal of Physiology
, vol.98
, Issue.4-6
, pp. 315-330
-
-
Maass, W.1
Natschlager, T.2
Markram, H.3
-
24
-
-
0036834701
-
Realtime computing without stable states: a new framework for neural computation based on perturbations
-
Maass, W., Natschlager, T., and Markram, H. Realtime computing without stable states: a new framework for neural computation based on perturbations, Neural Computing, vol. 14, no.11, pp. 2531-2560, 2002.
-
(2002)
Neural Computing
, vol.14
, Issue.11
, pp. 2531-2560
-
-
Maass, W.1
Natschlager, T.2
Markram, H.3
-
25
-
-
33846023013
-
Analysis and design of echo state networks
-
Ozturk, M., Xu, D., and Principe, J., Analysis and design of echo state networks, Neural Computation, vol. 19, no. 1, pp. 111-138, 2007.
-
(2007)
Neural Computation
, vol.19
, Issue.1
, pp. 111-138
-
-
Ozturk, M.1
Xu, D.2
Principe, J.3
-
26
-
-
53849116116
-
Recurrent Neural Associative Learning of Forward and Inverse Kinematics for Movement Generation of the Redundant PA-10 Robot
-
Reinhart, R.F. and Steil, J.J., Recurrent Neural Associative Learning of Forward and Inverse Kinematics for Movement Generation of the Redundant PA-10 Robot, ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems, pp. 35-40, 2008.
-
(2008)
ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems
, pp. 35-40
-
-
Reinhart, R.F.1
Steil, J.J.2
-
27
-
-
12144261601
-
Analyzing the weight dynamics of recurrent learning algorithms
-
Schiller, U., and Steil, J., Analyzing the weight dynamics of recurrent learning algorithms, Neurocomputing, vol. 63, pp. 5-23, 2005.
-
(2005)
Neurocomputing
, vol.63
, pp. 5-23
-
-
Schiller, U.1
Steil, J.2
-
28
-
-
84887001503
-
An overview of reservoir computing: theory, applications and implementations
-
Schrauwen, B., Verstraeten D., and Van Campenhout, J., An overview of reservoir computing: theory, applications and implementations, In Proceedings of the 15th European Symposium on Artificial Neural Networks, pp. 471-482, 2007.
-
(2007)
Proceedings of the 15th European Symposium on Artificial Neural Networks
, pp. 471-482
-
-
Schrauwen, B.1
Verstraeten, D.2
Van Campenhout, J.3
-
29
-
-
40649085253
-
Improving reservoirs using intrinsic plasticity
-
Schrauwen, B.,Warderman, M., Verstraeten, D., Steil, J., and Stroobandt, D., Improving reservoirs using intrinsic plasticity, Neurocomputing, vol. 71, no. 7-9, pp. 1159-1171, 2008.
-
(2008)
Neurocomputing
, vol.71
, Issue.7-9
, pp. 1159-1171
-
-
Schrauwen, B.1
Warderman, M.2
Verstraeten, D.3
Steil, J.4
Stroobandt, D.5
-
31
-
-
32544455147
-
Online stability of backpropagation-decorrelation recurrent learning
-
Steil, J., Online stability of backpropagation-decorrelation recurrent learning, Neurocomputing, vol. 69, no. 7-9, pp. 642-650, 2006.
-
(2006)
Neurocomputing
, vol.69
, Issue.7-9
, pp. 642-650
-
-
Steil, J.1
-
33
-
-
34249811184
-
Online reservoir adaptation by intrinsic plasticity for backpropagationdecorrelation and echo state learning
-
Steil, J. Online reservoir adaptation by intrinsic plasticity for backpropagationdecorrelation and echo state learning, Neural Networks, vol. 20, no. 3, pp. 353-364, 2007.
-
(2007)
Neural Networks
, vol.20
, Issue.3
, pp. 353-364
-
-
Steil, J.1
-
34
-
-
34249815487
-
An experimental unification of reservoir computing methods
-
Verstraeten, D., Schrauwen, B., D'Haene, M., and Stroobandt, D., An experimental unification of reservoir computing methods, Neural Networks, vol. 20, no. 3, pp. 391-403, 2007.
-
(2007)
Neural Networks
, vol.20
, Issue.3
, pp. 391-403
-
-
Verstraeten, D.1
Schrauwen, B.2
D'Haene, M.3
Stroobandt, D.4
-
35
-
-
0025503558
-
Backpropagation through time: what it does and how to do it
-
Werbos, P.J., Backpropagation through time: what it does and how to do it, Proceedings of the IEEE, vol. 78, no. 10, pp. 1550-1560, 1990.
-
(1990)
Proceedings of the IEEE
, vol.78
, Issue.10
, pp. 1550-1560
-
-
Werbos, P.J.1
-
36
-
-
0001202594
-
A learning algorithm for continuosly running fully recurrent neural networks
-
Williams, R.J. and Zipper, D., A learning algorithm for continuosly running fully recurrent neural networks, Neural Computation, vol. 1, pp. 270-280, 1989.
-
(1989)
Neural Computation
, vol.1
, pp. 270-280
-
-
Williams, R.J.1
Zipper, D.2
-
37
-
-
56349107019
-
Band-pass reservoir computing
-
Z. Hou and N. Zhang, editors
-
Wyffels, F., Schrauwen, B., Verstraeten, D., and Dirk, S., Band-pass reservoir computing, In Z. Hou and N. Zhang, editors, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2008), pp. 3204-3209, 2008.
-
(2008)
Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2008)
, pp. 3204-3209
-
-
Wyffels, F.1
Schrauwen, B.2
Verstraeten, D.3
Dirk, S.4
-
38
-
-
61849111350
-
Stable Output Feedback in Reservoir Computing Using Ridge Regression, Lecture Notes In Computer Science
-
Wyffels, F., Schrauwen, B., and Dirk, S., Stable Output Feedback in Reservoir Computing Using Ridge Regression, Lecture Notes In Computer Science, vol. 5163, Proceedings of the 18th International Conference on Artificial Neural Networks (ICANN 2008), pp. 807-818, 2008.
-
(2008)
Proceedings of the 18th International Conference on Artificial Neural Networks (ICANN 2008)
, vol.5163
, pp. 807-818
-
-
Wyffels, F.1
Schrauwen, B.2
Dirk, S.3
-
39
-
-
34249819041
-
Decoupled echo state networks with lateral inhibition
-
Xue, Y., Yang, L., Haykin, S., Decoupled echo state networks with lateral inhibition, Neural Networks, vol. 20, no. 3, pp. 365-376, 2007.
-
(2007)
Neural Networks
, vol.20
, Issue.3
, pp. 365-376
-
-
Xue, Y.1
Yang, L.2
Haykin, S.3
|