J4 ›› 2010, Vol. 45 ›› Issue (6): 60-64.

• Articles • Previous Articles     Next Articles

Global exponential stability of almost periodic solution for competitive neural  networks with distributed delays and different time-scales

ZHAO Yong-chang1, WANG Lin-shan1,2   

  1. 1. College of Information Science and Engineering, Ocean University of China, Qingdao 266071, Shandong,  China;
    2.College of Mathematical Science, Ocean University of China,  Qingdao 266071,  Shandong, China
  • Received:2009-09-30 Online:2010-06-16 Published:2010-06-17

Abstract:

The global exponential stability of almost periodic solutions for competitive neural networks with distributed delays and different time-scales are studied by using the fixed point theory, Lyapunov function and differential inequality technique. Sufficient conditions are established for the global exponential stability of it.

Key words: competitive neural networks; distributed delays; time-scales; almost periodic solution; global exponential stability

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