Evolutionary Identification and Synthesis of Predictive Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86083868" target="_blank" >RIV/61989100:27240/13:86083868 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/13:00196788 RIV/70883521:28140/13:43869001
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evolutionary Identification and Synthesis of Predictive Models
Original language description
In this contribution is demonstrated use of two evolutionary algorithms on parameter identification of selected predictive models. Both algorithms were used to indentify parameter of pre-selected ARMA models. At the end are discussed possibilities of useof synthesis of predictive models by means of methods of symbolic regression that has successfully been used on chaotic system identification by means of evolutionary algorithms on measured data.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
978-3-642-33226-5
ISSN
2194-5357
e-ISSN
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Number of pages
12
Pages from-to
261-272
Publisher name
Springer
Place of publication
Berlin
Event location
Ostrava
Event date
Sep 5, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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