Application of Local Activity Theory of Cellular Neural Network to the Chen's System

  • Authors:

  • Danling Wang;Lequan Min;Yu Ji

  • Affiliations:

  • Applied Science School, University of Science and Technology Beijing, Beijing, PR China 100083;Applied Science School, University of Science and Technology Beijing, Beijing, PR China 100083;Applied Science School, University of Science and Technology Beijing, Beijing, PR China 100083

  • Venue:
  • ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
  • Year:
  • 2008

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Abstract

The local activity theory introduced by Chua has provided a new tool for studying the complexity of high dimensional coupled nonlinear differential systems, in particular for reaction- diffusion cellular neural networks(R-D CNNs). In this paper some criteria for the local activity theory range from one-port to three-port cellular neural network cells with three local state variables are applied to Chen's system. Numerical simulations show that the dynamic behaviors of the Chen's CNN with one,two or three ports have the similar characteristics.