On Stochastic Neutral Neural Networks

  • Yumin Zhang
  • Lei Guo
  • Lingyao Wu
  • Chunbo Feng
Conference paper

DOI: 10.1007/11427391_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3496)
Cite this paper as:
Zhang Y., Guo L., Wu L., Feng C. (2005) On Stochastic Neutral Neural Networks. In: Wang J., Liao X., Yi Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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

Personalised recommendations