Spiral recurrent neural network for online learning

ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks

Volumn , Issue , 2007, Pages 483-488

  Gao, Huaien ^a   Sollacher, Rudolf ^b   Kriegel, Hans Peter ^a  

^a UNIVERSITY OF MUNICH   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ECHO STATE NEURAL NETWORKS; EXTENDED KALMAN FILTER ALGORITHM; FASTER CONVERGENCE; ONLINE LEARNING; REAL-TIME RECURRENT LEARNING; RECURRENT LAYERS; RECURRENT NEURAL NETWORK (RNN); STABLE PERFORMANCE;

SENSOR NETWORKS; SENSOR NODES;

RECURRENT NEURAL NETWORKS;

EID: 58349115535     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. H.G Zimmermann, R. Grothmann, A.M. Schaefer, and Ch Tietz. Dynamical consistent recurrent neural networks. Int. Joint Conference on Neural Networks (IJCNN), 2005.
2. D. E. Rumelhart and J. L. McClelland et al. Parallel distributed processing: explorations in the microstructure of cognition. Cambridge, Mass.,MIT Press, 1986.
3. Jeffrey L. Elman. Finding structure in time. Cognitive Science, 14(2):179-211, 1990.
4. Herbert Jaeger. Adaptive nonlinear system identification with echo state networks. Advances in Neural Information Processing Systems, 15:593-600, 2003.
5. S. Hochreiter and J. Schmidhuber. Long short-term memory. Neural Comput, 9(8):1735-1780, Nov 1997.
6. P.A. Mastorocostas and J.B. Theocharis. On stable learning algorithm for block-diagonal recurrent neural networks, part 1: the RENNCOM algorithm. IEEE International Joint Conference on Neural Networks, 2:815-820, 2004.
7. F.L. Lewis. Optimal Estimation: With an Introduction to Stochastic Control Theory. A Wiley-Interscience Publication, 1986. ISBN: 0-471-83741-5.
8. R.J. Williams and D. Zipser. A learning algorithm for continually running fully recurrent neural networks. Neural Computtion, 1:270-280, 1989.