Improved simple deterministically constructed Cycle Reservoir Network with Sensitive Iterative Pruning Algorithm

Author:

Wang Heshan,Yan Xuefeng

Funder

973 Project of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

1. Survey: reservoir computing approaches to recurrent neural network training;LukošEvičIus;Comput. Sci. Rev.,2009

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3. H. Jaeger, The “echo state” approach to analysing and training recurrent neural networks, Technology GMD Technical Report 148, German National Research Center for Information, Germany, 2001.

4. Real-time computing without stable states: a new framework for neural computation based on perturbations;Maass;Neural Comput.,2002

5. J.J. Steil, Backpropagation-decorrelation: online recurrent learning with O(N) complexity, in: Proceedings of the 2004 IEEE International Joint Conference on Neural Networks, 2004, pp. 843–848.

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