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Abstract: Echo state networks (ESN) are a novel approach to recurrent neural network training. An ESN consists of a large, fixed, recurrent "reservoir" network, from which the desired output is obtained by training suitable output connection weights. Determination of optimal output weights becomes a linear, uniquely solvable task of MSE minimization. This article reviews the basic ideas and describes an online adaptation scheme based on the RLS algorithm known from adaptive linear systems. As an example, ... (Update)
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BibTeX entry: (Update)
Jaeger, H. (2003), Adaptive nonlinear system identification with echo state networks, in S. T. S. Becker & K. Obermayer, eds, `Advances in Neural Information Processing Systems 15', MIT Press, Cambridge, MA, pp. 593--600. http://citeseer.ist.psu.edu/jaeger03adaptive.html More
@misc{ jaeger03adaptive,
author = "H. Jaeger",
title = "Adaptive nonlinear system identification with echo state networks",
text = "Jaeger, H. (2003), Adaptive nonlinear system identification with echo state
networks, in S. T. S. Becker & K. Obermayer, eds, `Advances in Neural Information
Processing Systems 15', MIT Press, Cambridge, MA, pp. 593--600.",
year = "2003",
url = "citeseer.ist.psu.edu/jaeger03adaptive.html" }
Citations (may not include all citations):10 Real-time computing without stable states: A new framework f.. - Maass, Natschlaeger et al. - 2002
6 Adaptive Filters: Theory and Applications (context) - Farhang-Boroujeny - 1998
4 New results on recurrent network training: Unifying the algo.. - Atiya, Parlos - 2000
4 A model for real-time computation in generic neural microcir.. (context) - Maass, Natschl et al. - 2002
3 echo state (context) - Jaeger - 2001
3 Learning to ground fact symbols in behavior-based robots - Hertzberg, Jaeger et al. - 2002
2 Short term memory in echo state networks (context) - Jaeger - 2002
1 Tutorial on training recurrent neural networks (context) - Jaeger - 2002
1 Enhanced multistream Kalman lter training for recurrent neur.. (context) - Feldkamp, Prokhorov et al. - 1998
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