• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 21 Issue 1
Feb.  2009
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Article Contents
ZHANG Keyue, REN Dianbo, ZHANG Jiye. Globally Exponential Stability of Dynamic Neural Networks with Distributed Delays[J]. Journal of Southwest Jiaotong University, 2008, 21(1): 57-61.
Citation: ZHANG Keyue, REN Dianbo, ZHANG Jiye. Globally Exponential Stability of Dynamic Neural Networks with Distributed Delays[J]. Journal of Southwest Jiaotong University, 2008, 21(1): 57-61.

Globally Exponential Stability of Dynamic Neural Networks with Distributed Delays

  • Received Date: 20 Mar 2007
  • Publish Date: 25 Feb 2008
  • The existence,uniqueness and globally exponential stability of the equilibrium point of a dynamic neural network with distributed delays were studied without assumption of boundedness and differentiability of activation functions.Sufficient criteria for existence,uniqueness and global exponential stability of the equilibrium point of such neural networks were obtained based on the knowledge of M-matrix,topology and Liapunov stability theory.A test matrix was constructed by the weight matrix and the conditions satisfying activation functions of the neural networks.A neural network has a unique equilibrium point and is globally exponential stable if the test matrix is an M-matrix.

     

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