Evolutionary System to Model Structure and Parameters Regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F12%3A00197059" target="_blank" >RIV/68407700:21260/12:00197059 - 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
Evolutionary System to Model Structure and Parameters Regression
Original language description
This paper discusses features of multilayered evolutionary system suitable to identify various systems including their model by symbolic regression. Improved sensitivity allows modelling of difficult systems as deterministic chaos ones.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neural Network World
ISSN
1210-0552
e-ISSN
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Volume of the periodical
2012
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
14
Pages from-to
181-194
UT code for WoS article
000305103600006
EID of the result in the Scopus database
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