Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1892208 | Chaos, Solitons & Fractals | 2008 | 5 Pages |
Abstract
A map modelling a discrete bidirectional associative memory neural network with delays is investigated. Its dynamics is 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. It is found that there exist Hopf bifurcations when the delay passes a sequence of critical values. Numerical simulation is performed to verify the analytical results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Baodong Zheng, Yang Zhang, Chunrui Zhang,