Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
412848 | Neurocomputing | 2010 | 6 Pages |
Abstract
In this paper, a 3-neuron chaotic Hopfield network is presented. Numerical simulations show that the network displays rich dynamics by changing the self-connection weight. The dynamic of the network is studied by using the Lyapunov exponents spectrum, bifurcation diagram, power spectrum and topological horseshoe theory. It is shown that the proposed network exhibits some novel double-scroll chaotic attractors.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang,