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POPELKA, O. ŠŤASTNÝ, J.
Originální název
Generation of Mathematic Models for Environmental Data Analysis
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
This paper describes the application of evolutionary algorithms to environmental and economical data analysis. The standard genetic algorithm and its operators are described. In particular the extension to the genetic algorithm a grammatical evolution algorithm was used to generate automatically new regression models of crop yield data. The grammatical evolution is an algorithm capable of generating symbolic representations of mathematical models. The grammar used for generating the models in symbolic form is described and two new generated models are presented and the results are compared to an existing empirical model.
Klíčová slova
grammatical evolution, symbolic regression, genetic algorithms
Autoři
POPELKA, O.; ŠŤASTNÝ, J.
Rok RIV
2007
Vydáno
12. 7. 2007
ISSN
1583-624X
Periodikum
Management and Economical Engineering
Ročník
2007/6
Číslo
23
Stát
Rumunsko
Strany od
61
Strany do
66
Strany počet
6
BibTex
@article{BUT44739, author="Ondřej {Popelka} and Jiří {Šťastný}", title="Generation of Mathematic Models for Environmental Data Analysis", journal="Management and Economical Engineering", year="2007", volume="2007/6", number="23", pages="61--66", issn="1583-624X" }