Analysis of Chaotic Signals: Non-Linear Methods Versus Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F02%3A02074877" target="_blank" >RIV/68407700:21220/02:02074877 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of Chaotic Signals: Non-Linear Methods Versus Neural Networks
Original language description
Applications of Non-linear methods and neural networks in the analysis of chaotic signals are compared in the paper. Results of time series analysis by non-linear methods are illustrated by computations of Ljapunov exponents and correlation dimension. Abilities of neural networks are demonstrated in reconstruction of chaotic attractors, in generation of chaos and in the classification and modelling of a selected chaotic signal. A practical deployment of developed methods and programs has been included in diagnosis of cardiovascular system using signals of Electrocardiograms (ECG) and of Heart Rate Variability (HRV). For the data support there have been used databases MIT-BIH, Fantasia and Physio Bank Database.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 3rd International Carpathian Control Conference
ISBN
80-248-0089-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
481-486
Publisher name
VŠB-TUO
Place of publication
Ostrava
Event location
Ostrava-Beskydy
Event date
May 27, 2002
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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