EconPapers    
Economics at your fingertips  
 

Global asymptotic stability of BAM neural networks with distributed delays and reaction–diffusion terms

Bao Tong Cui and Xu Yang Lou

Chaos, Solitons & Fractals, 2006, vol. 27, issue 5, 1347-1354

Abstract: The global asymptotic stability of bi-directional associative memory neural networks with distributed delays and reaction–diffusion terms are studied by using the analysis technique and Lyapunov functional. A sufficient condition is proposed. Two numerical examples are given to show the correctness of our analysis.

Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (31)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077905004728
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:27:y:2006:i:5:p:1347-1354

DOI: 10.1016/j.chaos.2005.04.112

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().

 
Page updated 2025-03-19
Handle: RePEc:eee:chsofr:v:27:y:2006:i:5:p:1347-1354