On Stochastic Neutral Neural Networks

  • Yumin Zhang
  • Lei Guo
  • Lingyao Wu
  • Chunbo Feng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3496)

Abstract

A new type of neutral neural network (NNN) model is established and the corresponding stability analysis is studied in this paper. By introducing the neutral term into the classical neural network model, the inspiration and associate memory phenomenon can be well described and explained. The stochastic Hopfield NNN model (HNNN) is investigated, respectively. Some criteria for mean square exponential stability and asymptotic stable are provided.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yumin Zhang
    • 1
  • Lei Guo
    • 1
  • Lingyao Wu
    • 1
  • Chunbo Feng
    • 1
  1. 1.Research Institute of AutomationSoutheast UniversityNanjingChina

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