Anti-periodic Solutions for Recurrent Neural Networks without Assuming Global Lipschitz Conditions

نویسندگان

  • HONG ZHANG
  • YUANHENG WU
چکیده

In this paper we study recurrent neural networks with time-varying delays and continuously distributed delays. Without assuming global Lipschitz conditions on the activation functions, we establish the existence and local exponential stability of anti-periodic solutions.

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تاریخ انتشار 2010