Using Method Of Artificial Intelligence To Estimate Parameters Of Chaotic Synchronization Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43868166" target="_blank" >RIV/70883521:28140/11:43868166 - 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
Using Method Of Artificial Intelligence To Estimate Parameters Of Chaotic Synchronization Systems
Original language description
This paper aims to present the combination of chaotic signal and evolutionary algorithms to estimate the unknown parameters in chaos synchronization system via the Pecora and Carroll method. The self-organizing migrating algorithm (SOMA) and DifferentialEvolution (DE) were used to estimate the unknown parameters. Based on the results from evolutionary algorithms, two identical chaotic systems were synchronized.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MENDEL 2011 17th International Conference on Soft Computing
ISBN
978-80-214-4302-0
ISSN
1803-3814
e-ISSN
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Number of pages
8
Pages from-to
22-29
Publisher name
VUT Brno
Place of publication
Brno
Event location
Brno
Event date
Jun 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000302647900004