Classification of economic data into multiple classes by means of evolutionary methods

Jiří Lýsek and Jiří Šťastný
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Jiří Lýsek: Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, 613 00 Brno, Czech Republic
Jiří Šťastný: Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, 613 00 Brno, Czech Republic

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2013, vol. 61, issue 7, 2445-2449

Abstract: In this contribution we deal with an automatic classification of economic data into multiple classes. A classifier created by grammatical evolution is used to determine the data sample membership into one of the defined classes. The grammar rules used for classifier structure creation are presented. The performance of our classifier is compared with multilayer perceptron neural network classifier and Kohonen neural network classifier. We used a survey data of consumer behaviour in food market in Czech Republic.

Keywords: genetic algorithms; classification; grammatical evolution; learning (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2013061072445

DOI: 10.11118/actaun201361072445

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