Detail publikace

Generation of Mathematic Models for Environmental Data Analysis

POPELKA, O. ŠŤASTNÝ, J.

Anglický název

Generation of Mathematic Models for Environmental Data Analysis

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

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 anglicky

grammatical evolution, symbolic regression, genetic algorithms

Vydáno

2007-07-12

ISSN

1583-624X

Časopis

Management and Economical Engineering

Ročník

2007/6

Číslo

23

Strany od–do

61–66

Počet stran

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"
}