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Bifurcation analysis in a neutral BAM neural network model with delays
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摘要
In this paper, we study the dynamical behaviors of a four-neurons neutral BAM neural networks with two delays. By studying the distribution of the eigenvalues of the associated characteristic equation, we drive the critical values where Hopf and Hopf-pitchfork bifurcation occur. Then, the stability and direction of Hopf bifurcation, and normal form of Hopf-pitchfork are obtained by applying center manifold theorem and normal form method. Moreover, we find some interesting phenomenas, such as the existence of a stable fixed point, a pair of stable fixed points, a stable periodic solution, and co-existence of a pair of stable periodic solutions in the neighborhood of the Hopf-pitchfork critical point, which are all illustrated both theoretically and numerically.
In this paper, we study the dynamical behaviors of a four-neurons neutral BAM neural networks with two delays. By studying the distribution of the eigenvalues of the associated characteristic equation, we drive the critical values where Hopf and Hopf-pitchfork bifurcation occur. Then, the stability and direction of Hopf bifurcation, and normal form of Hopf-pitchfork are obtained by applying center manifold theorem and normal form method. Moreover, we find some interesting phenomenas, such as the existence of a stable fixed point, a pair of stable fixed points, a stable periodic solution, and co-existence of a pair of stable periodic solutions in the neighborhood of the Hopf-pitchfork critical point, which are all illustrated both theoretically and numerically.
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