New Neural Architectures and new adaptive evaluation of chaotic time series

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F10%3A00170480" target="_blank" >RIV/68407700:21220/10:00170480 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
New Neural Architectures and new adaptive evaluation of chaotic time series
Original language description
Non-linear dynamic systems and the types of their outputs with deterministic chaos are introduces. The classical non-linear methods for the analysis and the evaluation of their output signals as are Correlation Dimension, Lyapunov Exponents and Recurrence plot, are described. The quality of results acquired by these methods are discussed. As an innovation - various types of Higher Order Non-linear Neural Units (HONNU) are deployed. A few applications are demonstrated. As a conclusions - the limitationsand advantages of the introduced methods with HONNU are proposed.
Czech name
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Czech description
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Project
<a href="/en/project/2B06023" target="_blank" >2B06023: Development of a method for estimation of energy and matter fluxes in selected ecosystems; formulation and verification of principles for evaluation of conditions supporting selfregulation and biodiversity.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
4th IMECO International Symposium on Measurement, Analysis and Modelling of Human Functions - ISHF 10
ISBN
978-1-61738-984-9
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
7-8
Publisher name
ČVUT, Fakulta strojní
Place of publication
Praha
Event location
Praha
Event date
Jun 14, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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