IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2000y2000i5id175.html
   My bibliography  Save this article

Regionálna analýza pomocou samoorganizujúcich sa máp
[Regional analysis using self-organizing maps]

Author

Listed:
  • Lucius Chudý
  • Igor Farkaš

Abstract

Exploratory analysis of financial and economic data is being accepted as a very valuable and important stage of solving of majority of financial and economic tasks. We introduce a short overview of neural network approaches and applications in the financial and economic domain. Self-organizing map (SOM) used provides a unique and integrating neural network approach for proper and effective initial analysis of multidimensional financial and economic data. We provide a brief sketch of the basic types of analysis by means of SOM and illustrate their use on analysis of Slovak regions in terms of their budget income and expenditure data.

Suggested Citation

  • Lucius Chudý & Igor Farkaš, 2000. "Regionálna analýza pomocou samoorganizujúcich sa máp [Regional analysis using self-organizing maps]," Politická ekonomie, Prague University of Economics and Business, vol. 2000(5).
  • Handle: RePEc:prg:jnlpol:v:2000:y:2000:i:5:id:175
    DOI: 10.18267/j.polek.175
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.175.html
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.polek.175?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:prg:jnlpol:v:2000:y:2000:i:5:id:175. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.html .

    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.