Asymptotic Behavior of a Discrete-time Network Model of Two Neurons
Received:October 30, 2002  
Key Words: Neural networks   asymptotic behavior   difference system   piecewise constant nonlinearity  
Fund Project:Supported by National Natural Science Foundation of China (10071016), the Key Research Program of Science and Technology of the Ministry of Education of China, the Doctor Program Foundation of the Ministry of Education of China (20010532002) and Foundatio
Author NameAffiliation
ZHU Hui-yan College of Mathematics & Physics
Nanhua University
Hunan Hengyang
China 
HUANG Li-hong College of Mathematics & Econometrics
Hunan University
Changsha
China 
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Abstract:
      This paper is concerned with a delay difference systems arising from an arti- ficial network model of two neurons with piecewise coustant nonlinearity. The difference systems can be regarded as the discrete analog of the artificial neural network of two ncurons. Some interesting results are obtained for the asymptotic behavior of solutions of the systems.
Citation:
DOI:10.3770/j.issn:1000-341X.2004.02.013
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