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Global μ-stability of complex-valued delayed neural networks with leakage delay

  • Published:2015-11 Issue: Volume:168 Page:135-144
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Gong Weiqiang,Liang Jinling,Cao Jinde

Funder

National Natural Science Foundation of China

333 Project Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Graduate Research and Innovation Program of Jiangsu Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

1. Absolute exponential stability of recurrent neural networks with time delays and Lipschitz-continuous activation functions;Cao;IEEE Trans. Neural Netw.,2004

2. Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays;Chen;IEEE Trans. Neural Netw.,2005

3. Global asymptotic stability and global exponential stability of delayed cellular neural networks;Liao;IEEE Trans. Circuits Syst.,2005

4. Global asymptotic stability of recurrent neural networks with multiple time-varying delays;Zhang;IEEE Trans. Neural Netw.,2008

5. A complex-valued RTRL algorithm for recurrent neural networks;Goh;Neural Comput.,2004
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