Title :
Coexistence of attractors in a one-dimensional CNN array
Author :
Galias, Z. ; Ogorzalek, M.J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Min. & Metall., Cracow, Poland
Abstract :
In this paper we investigate long-term (steady-state) behavior of a one-dimensional array of chaotic circuits for different connection strength. Using computer experiments we have confirmed the existence of a very large number of stable steady-states depending only on the initial conditions applied in the individual cells and on the connection strength. Of special interest is the coexistence of large amplitude periodic oscillations in some cells and chaotic oscillations in the others, that forms very complex spatial patterns
Keywords :
cellular neural nets; chaos; oscillations; parallel machines; 1D CNN array; attractor coexistence; chaotic circuits; chaotic oscillations; complex spatial patterns; connection strength; large amplitude periodic oscillations; long-term behavior; stable steady-states; steady-state behavior; Biological system modeling; Cells (biology); Cellular neural networks; Chaos; Coupling circuits; Lattices; Neural networks; Oscillators; Solid modeling; Steady-state;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685346
