Hopf bifurcation in numerical approximation of a n-dimension neural network model with multi-delays

Chunrui Zhang and Baodong Zheng

Chaos, Solitons & Fractals, 2005, vol. 25, issue 1, 129-146

Abstract: In this paper we consider the numerical approximation of a n-dimension neural network model with multi-delays undergoing a Hopf bifurcation. We prove that if the neural network model has a Hopf bifurcation point at τ=τ∗, then the discrete neural network model obtained by Euler-method also has a Hopf bifurcation point at τh=τ∗+O(h).

Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077904006484
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:25:y:2005:i:1:p:129-146

DOI: 10.1016/j.chaos.2004.09.099

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. ().