RUAN Jiong, ZHAO Wei-rui, LIU Rong-song. Chaos in Transiently Chaotic Neural Networks[J]. Applied Mathematics and Mechanics, 2003, 24(8): 874-880.
Citation: RUAN Jiong, ZHAO Wei-rui, LIU Rong-song. Chaos in Transiently Chaotic Neural Networks[J]. Applied Mathematics and Mechanics, 2003, 24(8): 874-880.

Chaos in Transiently Chaotic Neural Networks

  • Received Date: 2001-11-27
  • Rev Recd Date: 2003-04-17
  • Publish Date: 2003-08-15
  • It was theoretically proved that one-dimensional transiently chaotic neural networks have chaotic structure in sense of Li-Yorke theorem with some given assumptions using that no division implies chaos.In particular,it is further derived sufficient conditions for the existence of chaos in sense of Li-Yorke theorem in chaotic neural network,which leads to the fact that Aihara has demonstrated by numerical method.Finally,an example and numerical simulation are shown to illustrate and reinforce the previous theory.
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