PT  - JOURNAL ARTICLE
AU  - Horák, Jakub
AU  - Šuleř, Petr
AU  - Vrbka, Jaromír
TI  - Analysis of Transportation Companies in the Czech Republic by the Kohonen Networks - Identification of Industry Leaders
DP  - 2021 Jan 4
TA  - Communications - Scientific Letters of the University of Zilina
PG  - A32--A43
VI  - 23
IP  - 1
AID - 10.26552/com.C.2021.1.A32-A43
IS  - 13354205
AB  - 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.