Analysis of business companies based on artificial neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F19%3A00001514" target="_blank" >RIV/75081431:_____/19:00001514 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1051/shsconf/20196101013" target="_blank" >http://dx.doi.org/10.1051/shsconf/20196101013</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/shsconf/20196101013" target="_blank" >10.1051/shsconf/20196101013</a>

Result language
angličtina
Original language name
Analysis of business companies based on artificial neural networks
Original language description
The aim of this article is to analyse business companies in the Czech Republic using artificial neural networks and subsequently to estimate the development of this branch of the national economy. An analysis is performed to create a significant number of clusters of businesses. An analysis of the most significant clusters is also carried out.
Czech name
—
Czech description
—

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018)
ISBN
9782759890637
ISSN
—
e-ISSN
—
Number of pages
12
Pages from-to
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Publisher name
EDP Sciences
Place of publication
Les Ulis, France
Event location
Beijing, China
Event date
Nov 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000467727800013

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