Bifurcation analysis for a tri-neuron discrete-time BAM neural network with delays

Qintao Gan, Rui Xu, Wenhua Hu and Pinghua Yang

Chaos, Solitons & Fractals, 2009, vol. 42, issue 4, 2502-2511

Abstract: In this paper, a tri-neuron discrete-time BAM neural network with delays is investigated. By analyzing the corresponding characteristic equations, the local asymptotic stability of the null solution and the existence of Neimark–Sacker bifurcations are discussed. By using the normal form theory and center manifold reduction, we derive explicit formulae to determine the stability and direction. Numerical simulations are carried out to illustrate the main results.

Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077909004020
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:42:y:2009:i:4:p:2502-2511

DOI: 10.1016/j.chaos.2009.03.151

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. ().