Finite-time synchronization for recurrent neural networks with discontinuous activations and time-varying delays-Reference-Cited by-同舟云学术

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Finite-time synchronization for recurrent neural networks with discontinuous activations and time-varying delays

Published:2017-01 Issue:1 Volume:27 Page:013101
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Duan Lian¹,Huang Lihong²,Fang Xianwen¹

Affiliation:

1. Mathematics and Big Data, Anhui University of Science and Technology, Huainan, Anhui 232001, People's Republic of China

2. School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, Hunan 410114, People's Republic of China

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4966177

Reference43 articles.

1. Cellular neural networks: applications

2. Cellular neural network approach to a class of communication problems

3. Capacity of Oscillatory Associative-Memory Networks with Error-Free Retrieval

4. Global asymptotic stability of a general class of recurrent neural networks with time-varying delays

5. Global convergence of neural networks with discontinuous neuron activations

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