Evolutionary reconstruction of chaotic systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A00001066" target="_blank" >RIV/70883521:28140/10:00001066 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-10707-8_8" target="_blank" >http://dx.doi.org/10.1007/978-3-642-10707-8_8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-10707-8_8" target="_blank" >10.1007/978-3-642-10707-8_8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evolutionary reconstruction of chaotic systems

Popis výsledku v původním jazyce

This chapter discusses the possibility of using evolutionary algorithms for the reconstruction of chaotic systems. The main aim is to show that evolutionary algorithms are capable of the reconstruction of chaotic systems without any partial knowledge ofinternal structure, i.e. based only on measured data. Five different evolutionary algorithms are presented and tested in a total of 13 and 12 versions in two different versions of experiments. System selected for numerical experiments here is the well-known logistic equation. For each algorithm and its version, 100 repeated simulations were conducted. According to obtained results it can be stated that evolutionary reconstruction is an alternative and a promising way as to how to identify chaotic systems.

Název v anglickém jazyce

Evolutionary reconstruction of chaotic systems

Popis výsledku anglicky

This chapter discusses the possibility of using evolutionary algorithms for the reconstruction of chaotic systems. The main aim is to show that evolutionary algorithms are capable of the reconstruction of chaotic systems without any partial knowledge ofinternal structure, i.e. based only on measured data. Five different evolutionary algorithms are presented and tested in a total of 13 and 12 versions in two different versions of experiments. System selected for numerical experiments here is the well-known logistic equation. For each algorithm and its version, 100 repeated simulations were conducted. According to obtained results it can be stated that evolutionary reconstruction is an alternative and a promising way as to how to identify chaotic systems.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BD - Teorie informace

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Studies in Computational Intelligence

ISSN

1860-949X

e-ISSN

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Svazek periodika

267

Číslo periodika v rámci svazku

Neuveden

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

26

Strana od-do

265-291

Kód UT WoS článku

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EID výsledku v databázi Scopus

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