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Song, Yongli; Han, Maoan; Wei, Junjie

Stability and Hopf bifurcation analysis on a simplified BAM neural network with delays. (English) Zbl 1062.34079

Physica D 200, No. 3-4, 185-204 (2005).
Summary: A delay-differential equation modelling a bidirectional associative memory (BAM) neural network with three neurons is investigated. Its dynamics are studied in terms of local analysis and Hopf bifurcation analysis. By analyzing the associated characteristic equation, its linear stability is investigated and Hopf bifurcations are demonstrated. The stability and direction of the Hopf bifurcation are determined by applying the normal form theory and the center manifold reduction. Numerical simulation results are given to support the theoretical predictions.

Cited in 125 Documents

MSC:

34K18 Bifurcation theory of functional-differential equations
34K19 Invariant manifolds of functional-differential equations
34K17 Transformation and reduction of functional-differential equations and systems, normal forms
34K13 Periodic solutions to functional-differential equations
34K20 Stability theory of functional-differential equations

Keywords:

Neural network; Time delay; Hopf bifurcations; Periodic solutions; Stability
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\textit{Y. Song} et al., Physica D 200, No. 3--4, 185--204 (2005; Zbl 1062.34079)
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