Pattern recognition using chaotic neural networks

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...

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Bibliographic Details
Main Authors: Z. Tan, B. S. Hepburn, C. Tucker, M. K. Ali
Format: Article
Language:English
Published: Hindawi Limited 1998-01-01
Series:Discrete Dynamics in Nature and Society
Subjects:
Bursting
Spiking
Chaos
Bifurcations
Frequency modulation.
Online Access:http://dx.doi.org/10.1155/S1026022698000211
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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
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