Automatic discovery of the regression model by the means of grammatical and differential evolution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F14%3A00225536" target="_blank" >RIV/62156489:43110/14:00225536 - 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
Automatic discovery of the regression model by the means of grammatical and differential evolution
Original language description
In the contribution, there is discussed the usage of the method based on the grammatical and differential evolution for the automatic discovery of regression models for discrete datasets. The combination of these two methods enables the process to find the precise structure of the mathematical model and values for the model constants separately. The used method is described and tested on the selected regression examples. The results are reported and the obtained mathematical models are presented. The advantages of the selected approach are described and compared to the classical methods.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Agricultural Economics-Zemedelska ekonomika
ISSN
0139-570X
e-ISSN
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Volume of the periodical
60
Issue of the periodical within the volume
12
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
546-552
UT code for WoS article
347476700002
EID of the result in the Scopus database
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