Pattern recognition using chaotic neural networks
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 reco...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
1998-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/S1026022698000211 |
id |
doaj-f55704fe7a2749df8620530d7d630859 |
---|---|
record_format |
Article |
spelling |
doaj-f55704fe7a2749df8620530d7d6308592020-11-24T21:36:58ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X1998-01-012424324710.1155/S1026022698000211Pattern recognition using chaotic neural networksZ. Tan0B. S. Hepburn1C. Tucker2M. K. Ali3Department of Physics, University of Lethbridge, 4401 University Drive, Alberta, Lethbridge T1K 3M4, CanadaDepartment of Physics, University of Lethbridge, 4401 University Drive, Alberta, Lethbridge T1K 3M4, CanadaDepartment of Physics, University of Lethbridge, 4401 University Drive, Alberta, Lethbridge T1K 3M4, CanadaDepartment of Physics, University of Lethbridge, 4401 University Drive, Alberta, Lethbridge T1K 3M4, CanadaPattern 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.http://dx.doi.org/10.1155/S1026022698000211BurstingSpikingChaosBifurcationsFrequency modulation. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Z. Tan B. S. Hepburn C. Tucker M. K. Ali |
spellingShingle |
Z. Tan B. S. Hepburn C. Tucker M. K. Ali Pattern recognition using chaotic neural networks Discrete Dynamics in Nature and Society Bursting Spiking Chaos Bifurcations Frequency modulation. |
author_facet |
Z. Tan B. S. Hepburn C. Tucker M. K. Ali |
author_sort |
Z. Tan |
title |
Pattern recognition using chaotic neural networks |
title_short |
Pattern recognition using chaotic neural networks |
title_full |
Pattern recognition using chaotic neural networks |
title_fullStr |
Pattern recognition using chaotic neural networks |
title_full_unstemmed |
Pattern recognition using chaotic neural networks |
title_sort |
pattern recognition using chaotic neural networks |
publisher |
Hindawi Limited |
series |
Discrete Dynamics in Nature and Society |
issn |
1026-0226 1607-887X |
publishDate |
1998-01-01 |
description |
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. |
topic |
Bursting Spiking Chaos Bifurcations Frequency modulation. |
url |
http://dx.doi.org/10.1155/S1026022698000211 |
work_keys_str_mv |
AT ztan patternrecognitionusingchaoticneuralnetworks AT bshepburn patternrecognitionusingchaoticneuralnetworks AT ctucker patternrecognitionusingchaoticneuralnetworks AT mkali patternrecognitionusingchaoticneuralnetworks |
_version_ |
1725938976890552320 |