Discrete Dynamics in Nature and Society
Volume 2 (1998), Issue 4, Pages 243-247

Pattern recognition using chaotic neural networks

Z. Tan, B. S. Hepburn, C. Tucker, and M. K. Ali

Department of Physics, University of Lethbridge, 4401 University Drive, Alberta, Lethbridge T1K 3M4, Canada

Received 10 April 1998

Copyright © 1998 Z. Tan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Pattern recognition by chaotic neural networks is studied using a hyperchaotic neural network as model. Virtual basins of attraction are introduced around unstable periodic orbits which are then used as patterns. Search for periodic orbits in dynamical systems is treated as a process of pattern recognition. The role of synapses on patterns in chaotic networks is discussed. It is shown that distorted states having only limited information of the patterns are successfully recognized.