Reservoir Computing Using Asynchronous Cellular Automata
Author:
Affiliation:
1. College of Industrial Technology, Nihon University
2. School of Fundamental Science and Engineering, Waseda University
Publisher
The Society of Instrument and Control Engineers
Link
https://www.jstage.jst.go.jp/article/sicetr/56/1/56_8/_pdf
Reference22 articles.
1. 1) H. Jaeger: The “Echo State” Approach to Analysing and Training Recurrent Neural Networks: with an Erratum Note, GMD Report, 148 (2001)
2. 2) W. Maass, T. Natschläger, and H. Markram: Real-time computing without stable states: A new framework for neural computation based on perturbations, Neural Comput., 14-11, 2531/2560 (2002)
3. 3) M. Lukošvičius and H. Jaeger: Reservoir computing approaches to recurrent neural network training, Computer Science Review, 3-3, 127/149 (2009)
4. 6) C. Fernando and S. Sojakka: Pattern Recognition in a Bucket, Proceedings of Advances in Artificial Life (ECAL 2003), 588/597 (2003)
5. 7) B. Jones, D. Stekel, J. Rowe and C. Fernando: Is There a Liquid State Machine in the Bacterium Escherichia coli?, Proceedings of the IEEE Symposium on Artificial Life 2007 (ALIFE'07), 187/191 (2007)
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