Adaptive Nonlinear System Identification with Echo State Networks

NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems

Volumn , Issue , 2002, Pages 593-600

  Jaeger, Herbert ^a  

^a JACOBS UNIVERSITY BREMEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ONLINE SYSTEMS; RECURRENT NEURAL NETWORKS;

ADAPTATION SCHEME; CONNECTION WEIGHTS; CONVERGENCE RATES; ECHO STATE NETWORKS; MINIMISATION; NEURAL NETWORKS TRAININGS; NON-LINEAR SYSTEM IDENTIFICATION; ON-LINE ADAPTATION; RESERVOIR NETWORKS; RLS ALGORITHMS;

LINEAR SYSTEMS;

EID: 85013775361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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5. h. Jaeger. The "echo state" approach to analysing and training recurrent neural networks. GMD Report 148, GMD - German National Research Institute for Computer Science, 2001. http://www.gmd.de/People/herbert.Jaeger/Publications.html.
6. h. Jaeger. Short term memory in echo state networks. GMD-Report 152, GMD - German National Research Institute for Computer Science, 2002. http://www.gmd.de/People/herbert.Jaeger/Publications.html.
7. h. Jaeger. Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the echo state network approach. GMD Report 159, Fraunhofer Institute AIS, 2002.
8. W. Maass, T. Natschlaeger, and h. Markram. Real-time computing without stable states: A new framework for neural computation based on perturbations. http://www.cis.tugraz.at/igi/maass/psfiles/LSM-vl06.pdf. 2002.
9. W. Maass, Th. Natschlager, and h. Markram. A model for real-time computation in generic neural microcircuits. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing System 15 (Proc. NIPS 2002). MIT Press, 2002.