Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay

We consider the nonlinear dynamical behavior of a three-dimensional recurrent neural network with time delay. By choosing the time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs when the delay passes through a sequence of critical values. Applying the nor- mal form method an...

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Main Author: Yingguo Li
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/357382
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author Yingguo Li
author_facet Yingguo Li
author_sort Yingguo Li
collection DOAJ
description We consider the nonlinear dynamical behavior of a three-dimensional recurrent neural network with time delay. By choosing the time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs when the delay passes through a sequence of critical values. Applying the nor- mal form method and center manifold theory, we obtain some local bifurcation results and derive formulas for determining the bifurcation direction and the stability of the bifurcated periodic solution. Some numerical examples are also presented to verify the theoretical analysis.
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institution Kabale University
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language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-0b3450f74b4a4c6494c4dea10764aeb32025-02-03T00:59:29ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/357382357382Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time DelayYingguo Li0School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, ChinaWe consider the nonlinear dynamical behavior of a three-dimensional recurrent neural network with time delay. By choosing the time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs when the delay passes through a sequence of critical values. Applying the nor- mal form method and center manifold theory, we obtain some local bifurcation results and derive formulas for determining the bifurcation direction and the stability of the bifurcated periodic solution. Some numerical examples are also presented to verify the theoretical analysis.http://dx.doi.org/10.1155/2012/357382
spellingShingle Yingguo Li
Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay
Journal of Applied Mathematics
title Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay
title_full Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay
title_fullStr Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay
title_full_unstemmed Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay
title_short Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay
title_sort stability and bifurcation analysis of a three dimensional recurrent neural network with time delay
url http://dx.doi.org/10.1155/2012/357382
work_keys_str_mv AT yingguoli stabilityandbifurcationanalysisofathreedimensionalrecurrentneuralnetworkwithtimedelay