Title :
A chaotic attractor with cellular neural networks
Author :
Zou, Fan ; Nossek, Josef A.
Author_Institution :
Inst. for Network Theory & Circuit Design, Tech. Univ. of Munich, Germany
fDate :
7/1/1991 12:00:00 AM
Abstract :
A chaotic attractor has been observed with a nonautonomous cellular neural network (CNN) using an opposite-sign template. The network consists of only two cells and is driven by a sinusoidal input. It possesses the horseshoe structure. The map shows multiple strongly stretching and folding processes of the volume of flow. The attractor has interesting fractal structures
Keywords :
chaos; fractals; neural nets; cellular neural networks; chaotic attractor; folding processes; fractal structures; horseshoe structure; opposite-sign template; sinusoidal input; stretching processes; CMOS technology; Cellular neural networks; Chaos; Circuits; Fractals; Frequency; Network theory (graphs); Neurofeedback; Stability analysis; State feedback;
Journal_Title :
Circuits and Systems, IEEE Transactions on
