Regionálna analýza pomocou samoorganizujúcich sa máp

Regional analysis using self-organizing maps

Lucius Chudý and Igor Farkaš

Politická ekonomie, 2000, vol. 2000, issue 5

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.

Keywords: income; neural networks; self-organizing maps; finance; regional analysis; tax; expenditure (search for similar items in EconPapers)
Date: 2000
References: Add references at CitEc
Citations:

Downloads: (external link)
http://polek.vse.cz/doi/10.18267/j.polek.175.html (text/html)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:prg:jnlpol:v:2000:y:2000:i:5:id:175

Ordering information: This journal article can be ordered from
Redakce Politické ekonomie, Vysoká škola ekonomická, nám. W. Churchilla 4, 130 67 Praha 3
http://polek.vse.cz

DOI: 10.18267/j.polek.175

Access Statistics for this article

Politická ekonomie is currently edited by Jiřina Bulisová

More articles in Politická ekonomie from Prague University of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Stanislav Vojir ().