Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
405999 | Neurocomputing | 2016 | 9 Pages |
Abstract
In this paper, we give a detailed Hopf bifurcation analysis of a recurrent neural network system involving both discrete and distributed delays. Choosing the sum of the discrete delay terms as a bifurcation parameter the existence of Hopf bifurcation is demonstrated. In particular, the formulae determining the direction of the bifurcations and the stability of the bifurcating periodic solutions are studied by using the normal form theory and center manifold theorem. Finally, numerical simulations supporting our theoretical results are also included.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Esra Karaoğlu, Enes Yılmaz, Hüseyin Merdan,