| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 409103 | Neurocomputing | 2008 | 6 Pages |
Abstract
In this paper, the dynamics of discrete-time resonant tunneling diode (RTD)-based cellular neural networks is studied. By virtue of metric horseshoe theory, it can be shown that the map derived from the discretization of RTD-based cellular neural networks has horseshoe in terms of symbolic dynamics of Σ3Σ3, which means the map is semi-conjugate to 3-shift dynamics.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Chen Feng-Juan, Li Ji-Bin,