IDEAS home Printed from https://ideas.repec.org/a/mup/actaun/actaun_2013061072445.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jiří Lýsek & Jiří Šťastný, 2013. "Classification of economic data into multiple classes by means of evolutionary methods," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(7), pages 2445-2449.
    • Handle: RePEc:mup:actaun:actaun_2013061072445
    DOI: 10.11118/actaun201361072445
    as

    Download full text from publisher

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201361072445.html
    Download Restriction: free of charge
    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201361072445.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.11118/actaun201361072445?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mup:actaun:actaun_2013061072445. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://mendelu.cz/en/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.