Discrete Dynamics in Nature and Society
Volume 2 (1998), Issue 4, Pages 243-247
doi:10.1155/S1026022698000211
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
Abstract
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.