World benchmark with Self-Organizing Map
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03101109" target="_blank" >RIV/68407700:21230/04:03101109 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
World benchmark with Self-Organizing Map
Original language description
The goal of this paper is to enquire the behavior of the Kohonen neural net (also known as Self-Organizing Map, SOM) and its using for world cluster analysis. SOM differs from classical neural nets based on perceptron in many ways. SOM is based on cluster analysis by comparing data vectors. SOM was used for world classification tries to find an position of Czech republic in world benchmark. The data vectors contain statistical information such as number of aircraft departures, surface area, mortality, telephone lines, economic data ...
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
A - Audiovisual production
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
ISBN
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Place of publication
Praha
Publisher/client name
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Version
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Carrier ID
neuvedeno