Stability and bifurcation analysis on a discrete-time neural network
type: Item
instance of: scholarly article
title: Stability and bifurcation analysis on a discrete-time neural network
zbMATH Open document ID: 1063.93030
author: Dewen Hu
author: Zhaohui Yuan
author: Lihong Huang
published in: Journal of Computational and Applied Mathematics
publication date: 2005-02-22T00:00:00Z
review text: A discrete-time neural network is studied. The stability of the equilibrium point \( (0,0) \) and the occurrence of a Neimark-Sacker bifurcation are proved for such networks using the technique developed by Kuznetsov for discrete-time systems. Numerical simulations verified the theoretical results.
reviewed by: Angela Slavova
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 34C23
Mathematics Subject Classification ID: 34D23
Mathematics Subject Classification ID: 93D20
zbMATH DE Number: 2136618
zbMATH Keywords: neural network
zbMATH Keywords: stability
zbMATH Keywords: Neimark-Sacker bifurcation
zbMATH Keywords: discrete-time systems
MaRDI profile type: Publication
full work available at URL: j.cam.2004.09.010
OpenAlex ID: W2104903001
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DOI: 10.1016/J.CAM.2004.09.010
description: scientific article; zbMATH DE number 2136618