Title
Convergence study of discrete neural networks with delay
Abstract
The convergence of discrete Hopfield neural networks with delay is mainly investigated and some results on the convergence are given. Several new sufficient conditions for the networks with delay converging towards a limit cycle with length at most 2 are obtained. Also, several conditions for the networks with delay converging towards a limit cycle with length 2 are investigated. All results established here extend the previous results on the convergence of both discrete Hopfield neural networks without delay and with delay in parallel updating mode.
Year
DOI
Venue
2006
10.1007/11893028_62
ICONIP (1)
Keywords
Field
DocType
convergence study,discrete hopfield neural network,limit cycle,discrete neural network,new sufficient condition,previous result,neural network
Convergence (routing),Computer science,Algorithm,Limit cycle,Retard,Artificial neural network
Conference
Volume
ISSN
ISBN
4232
0302-9743
3-540-46479-4
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Run-Nian Ma15510.19
Guoqiang Bai27514.56