Echo State Network Based on L0 Norm Regularization for Chaotic Time Series Prediction

Author:

Li Li,Huang Fangwan,Yu Zhiyong

Publisher

Springer International Publishing

Reference18 articles.

1. Haykin, S., Principe, J.: Making sense of a complex world [chaotic events modeling]. IEEE Signal Process. Magaz. 15(3), 66–81 (1998)

2. Yu, Z.: Chaos and symbol analysis and practice of time series (in Chinese). National University of Defense Technology Press, Changsha (2007)

3. Namikawa, J., Tani, J.: Building recurrent neural networks to implement multiple attractor dynamics using the gradient descent method. Advances in Artificial Neural Systems (2009)

4. Jaeger, H.: The “Echo State” approach to analyzing and training recurrent neural networks. Bonn, Germany: German National Research Center for Information Technology GMD Technical Report 148(34), 13 (2001)

5. Qiao, J.F., Bo, Y.C., Han, G.: Application of ESN-based multi indices dual heuristic dynamic programming on wastewater treatment process. Acta Automatica Sinica 39(7), 1146–1151 (2013)

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