Communications - Scientific Letters of the University of Zilina 2021, 23(1):A32-A43 | DOI: 10.26552/com.C.2021.1.A32-A43

Analysis of Transportation Companies in the Czech Republic by the Kohonen Networks - Identification of Industry Leaders

Jakub Horák ORCID...1, Petr Šuleř ORCID...1, Jaromír Vrbka ORCID...1
1 School of Expertness and Valuation, Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czech Republic

Computational models of artificial neural networks are currently used in different areas. Accuracy of results exceeds the performance of traditional statistical techniques. Artificial neural networks as the Kohonen map may be used e.g. to identify industry leaders, thus replacing the traditional cluster analysis and other methods. 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. Each cluster is subjected to analysis of absolute indicators and several parameters, average, as well as absolute, are examined. In total, 88 firms may be considered as industry leaders. Consequently, a fairly small group of companies has a strong influence on development of the whole transportation industry in the Czech Republic.

Keywords: Kohonen networks; artificial intelligence; industry leaders; transportation; cluster analysis

Received: March 3, 2020; Accepted: June 3, 2020; Prepublished online: October 26, 2020; Published: January 4, 2021  Show citation

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Horák, J., Šuleř, P., & Vrbka, J. (2021). Analysis of Transportation Companies in the Czech Republic by the Kohonen Networks - Identification of Industry Leaders. Communications - Scientific Letters of the University of Zilina, 23(1), A32-43. doi: 10.26552/com.C.2021.1.A32-A43
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