Identification of discrete chaotic maps with singular points

We investigate the ability of artificial neural networks to reconstruct discrete chaotic maps with singular points. We use as a simple test model the Cusp map. We compare the traditional Multilayer Perceptron, the Chebyshev Neural Network and the Wavelet Neural Network. The numerical scheme for the...

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Main Authors: P. G. Akishin, P. Akritas, I. Antoniou, V. V. Ivanov
Format: Article
Language:English
Published: Wiley 2001-01-01
Series:Discrete Dynamics in Nature and Society
Subjects:
Online Access:http://dx.doi.org/10.1155/S1026022601000164
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author P. G. Akishin
P. Akritas
I. Antoniou
V. V. Ivanov
author_facet P. G. Akishin
P. Akritas
I. Antoniou
V. V. Ivanov
author_sort P. G. Akishin
collection DOAJ
description We investigate the ability of artificial neural networks to reconstruct discrete chaotic maps with singular points. We use as a simple test model the Cusp map. We compare the traditional Multilayer Perceptron, the Chebyshev Neural Network and the Wavelet Neural Network. The numerical scheme for the accurate determination of a singular point is also developed. We show that combining a neural network with the numerical algorithm for the determination of the singular point we are able to accurately approximate discrete chaotic maps with singularities.
format Article
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institution Kabale University
issn 1026-0226
1607-887X
language English
publishDate 2001-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-8e59d6fa9ff94072ab3f3d0ad15969cc2025-02-03T07:24:46ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2001-01-016314715610.1155/S1026022601000164Identification of discrete chaotic maps with singular pointsP. G. Akishin0P. Akritas1I. Antoniou2V. V. Ivanov3Laboratory of Computing Techniques and Automation, Joint Institute for Nuclear Research, Dubna 141980, Russialnternational Solvay Institute for Physics and Chemistry, CP-231, ULB, Campus Plaine, Bd. du Triomphe, Brussels 1050, Belgiumlnternational Solvay Institute for Physics and Chemistry, CP-231, ULB, Campus Plaine, Bd. du Triomphe, Brussels 1050, BelgiumLaboratory of Computing Techniques and Automation, Joint Institute for Nuclear Research, Dubna 141980, RussiaWe investigate the ability of artificial neural networks to reconstruct discrete chaotic maps with singular points. We use as a simple test model the Cusp map. We compare the traditional Multilayer Perceptron, the Chebyshev Neural Network and the Wavelet Neural Network. The numerical scheme for the accurate determination of a singular point is also developed. We show that combining a neural network with the numerical algorithm for the determination of the singular point we are able to accurately approximate discrete chaotic maps with singularities.http://dx.doi.org/10.1155/S1026022601000164Neural networks; Chaotic maps; Wavelets.
spellingShingle P. G. Akishin
P. Akritas
I. Antoniou
V. V. Ivanov
Identification of discrete chaotic maps with singular points
Discrete Dynamics in Nature and Society
Neural networks; Chaotic maps; Wavelets.
title Identification of discrete chaotic maps with singular points
title_full Identification of discrete chaotic maps with singular points
title_fullStr Identification of discrete chaotic maps with singular points
title_full_unstemmed Identification of discrete chaotic maps with singular points
title_short Identification of discrete chaotic maps with singular points
title_sort identification of discrete chaotic maps with singular points
topic Neural networks; Chaotic maps; Wavelets.
url http://dx.doi.org/10.1155/S1026022601000164
work_keys_str_mv AT pgakishin identificationofdiscretechaoticmapswithsingularpoints
AT pakritas identificationofdiscretechaoticmapswithsingularpoints
AT iantoniou identificationofdiscretechaoticmapswithsingularpoints
AT vvivanov identificationofdiscretechaoticmapswithsingularpoints