Synchronization of Fuzzy High-order Cohen-Grossberg Neural Networks with Reaction-diffusion Term and Time-varying

نویسندگان

  • Ping YAN
  • Teng LV
  • Jingsheng LEI
  • Weimin HE
چکیده

Synchronization is very important for the efficient processing and transmission of information across the nervous system. Synchronization processes are ubiquitous in nature and play a very important role in many areas. As a special neural networks, fuzzy neural networks have an automatic adaption procedure and attract many attentions to their dynamical behaviors. In this paper, delayed fuzzy high-order Cohen-Grossberg neural networks with reaction-diffusion term is present and their synchronization is discussed. Some sufficient conditions are given to ensure the synchronization of the drive-response delayed fuzzy high-order Cohen-Grossberg neural networks.

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تاریخ انتشار 2011