Detail publikace

Generation of Mathematic Models for Environmental Data Analysis

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"
}