Using the Self-Organizing Map for World Economic State Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03101097" target="_blank" >RIV/68407700:21230/04:03101097 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using the Self-Organizing Map for World Economic State Classification
Original language description
This paper deals with features and behaviour of Self-Organizing Map (denoted also SOM), also known as Kohonen neural net, in specify economic application. The goal of this paper is to enquire the behaviour of the Kohonen neural net and its using for world economic cluster analysis. SOM differs from classical neural nets based on perceptron in many ways. SOM is based on cluster analyses by comparing data vectors. The output of the Kohonen neural net is a map, which is shown founded clusters. SOM was usedfor world economic classification tries to find an economical position of Czech republic in world benchmark. The experiment shows that Czech republic belongs between advanced states together with other central European countries and is situated on the border of the most advanced European Union, Canada and USA and other advanced states of Europe. This experiment presents potential opportunities in economic analysis.
Czech name
Není k dispozici
Czech description
Není k dispozici

Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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