Paper Title:
Stability Criterion of Discrete Hopfield Neural Networks with Weighted Function Matrix and one-Delay
  Abstract

In this paper, discrete Hopfield neural networks with weight function matrix(WFM) and delay(DHNNWFMD) are presented. And we obtain an important result that if the WFM is a symmetric function matrix(SFM) and delayed function matrix(DFM) is a diagonally dominant function matrix(DDFM), DHNNWFMD will converge to a state in serial mode and if the WFM is a SFM and non-negative definite function matrix(NFM) and DFM is a DDFM, DHNNWFMD will converge to a state in parallel mode. It provides some theory basis for the application of DHNNWFMD.

  Info
Periodical
Advanced Materials Research (Volumes 271-273)
Edited by
Junqiao Xiong
Pages
725-729
DOI
10.4028/www.scientific.net/AMR.271-273.725
Citation
H. Y. Zou, S. S. Chen, X. F. Lai, "Stability Criterion of Discrete Hopfield Neural Networks with Weighted Function Matrix and one-Delay", Advanced Materials Research, Vols. 271-273, pp. 725-729, 2011
Online since
July 2011
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$32.00
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