Stabilizing binary patterns in discrete maps

Abstract:

The use of control schemes to stabilize unstable periodic orbits in a chaotic neural network acting as associative memory, require firstly that the control scheme has to be effective in high dimensional systems and secondly that it does not depend on the target. As an alternative, we propose to associate binary patterns to the evolution of a low dimensional chaotic map where a suitable control scheme can be used. By using the Logistic map as an example, results that can be useful in the design of associative memories are shown.

Año de publicación:

2009

Keywords:

• Neural networks
• chaotic systems
• Control of chaos
• Associative memory
• Binary patterns

Fuente:

scopus