Minimum Complexity Echo State Network

作者: A Rodan , P Tino

DOI: 10.1109/TNN.2010.2089641

关键词:

摘要: Reservoir computing (RC) refers to a new class of state-space models with a fixed state transition structure (the reservoir) and an adaptable readout form the state space. The reservoir …

参考文章(38)
David Verstraeten, Benjamin Schrauwen, Jan M. Van Campenhout, An overview of reservoir computing: theory, applications and implementations the european symposium on artificial neural networks. pp. 471- 482 ,(2007)
Michal Čerňanský, Peter Tiňo, Predictive Modeling with Echo State Networks Artificial Neural Networks - ICANN 2008. pp. 778- 787 ,(2008) , 10.1007/978-3-540-87536-9_80
R. Lyon, A computational model of filtering, detection, and compression in the cochlea international conference on acoustics, speech, and signal processing. ,vol. 7, pp. 1282- 1285 ,(1982) , 10.1109/ICASSP.1982.1171644
Francis Wyffels, Benjamin Schrauwen, Dirk Stroobandt, Stable Output Feedback in Reservoir Computing Using Ridge Regression Artificial Neural Networks - ICANN 2008. ,vol. 5163, pp. 808- 817 ,(2008) , 10.1007/978-3-540-87536-9_83
K. Ishu, T. van der Zant, V. Becanovic, P. Ploger, Identification of motion with echo state network oceans conference. ,vol. 3, pp. 1205- 1210 ,(2004) , 10.1109/OCEANS.2004.1405751
Benjamin Schrauwen, Jeroen Defour, David Verstraeten, Jan Van Campenhout, The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition Lecture Notes in Computer Science. ,vol. 4668, pp. 471- 479 ,(2007) , 10.1007/978-3-540-74690-4_48
Herbert Jaeger, Wolfgang Maass, Jose Principe, Editorial: Special issue on echo state networks and liquid state machines Neural Networks. ,vol. 20, pp. 287- 289 ,(2007) , 10.1016/J.NEUNET.2007.04.001
D. Prokhorov, Echo state networks: appeal and challenges international joint conference on neural network. ,vol. 3, pp. 1463- 1466 ,(2005) , 10.1109/IJCNN.2005.1556091
M.D. Skowronski, J.G. Harris, Minimum mean squared error time series classification using an echo state network prediction model international symposium on circuits and systems. pp. 3153- 3156 ,(2006) , 10.1109/ISCAS.2006.1693294
K. Bush, C. Anderson, Modeling reward functions for incomplete state representations via echo state networks international joint conference on neural network. ,vol. 5, pp. 2995- 3000 ,(2005) , 10.1109/IJCNN.2005.1556402