HORÁK, Jakub, Petr ŠULEŘ and Jaromír VRBKA. Analysis of transportation companies in the Czech Republic by the Kohonen networks - identification of industry leaders. Communications - Scientific Letters of the University of Zilina. Žilina, Slovensko: Univerzity of Zilina, 2020, vol. 23, No 1, p. 32-43. ISSN 1335-4205. doi:10.26552/COM.C.2021.1.A32-A43.
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Basic information
Original name Analysis of transportation companies in the Czech Republic by the Kohonen networks - identification of industry leaders
Name in Czech Analýza dopravních společností v České republice pomocí Kohonenových sítí - identifikace leaderů v oboru
Authors HORÁK, Jakub (203 Czech Republic, guarantor, belonging to the institution), Petr ŠULEŘ (203 Czech Republic, belonging to the institution) and Jaromír VRBKA (203 Czech Republic, belonging to the institution).
Edition Communications - Scientific Letters of the University of Zilina, Žilina, Slovensko, Univerzity of Zilina, 2020, 1335-4205.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50200 5.2 Economics and Business
Country of publisher Slovakia
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/20:00001891
Organization unit Institute of Technology and Business in České Budějovice
Doi http://dx.doi.org/10.26552/COM.C.2021.1.A32-A43
Keywords (in Czech) Kohonenovy sítě; umělá inteligence; průmysloví leadeři; doprava; klastrová analýza
Keywords in English Kohonen networks; artificial intelligence; industry leaders; transportation; cluster analysis
Tags FIP_2, RIV20, SCOPUS
Changed by Changed by: Kateřina Nygrýnová, učo 23736. Changed: 17/12/2020 12:46.
Abstract
The aim of this contribution is to analyse the transportation industry in the Czech Republic by the Kohonen networks and identify industry leaders. The data file contains results - division of companies into a total of 100 clusters.
Abstract (in Czech)
Cílem tohoto příspěvku je analyzovat dopravní průmysl v České republice pomocí Kohonenových sítí a identifikovat leadery v tomto odvětví. Datový soubor obsahuje výsledky - rozdělení společností do celkem 100 klastrů.
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