RT Journal Article
SR Electronic
A1 Horák, Jakub
A1 Šuleř, Petr
A1 Vrbka, Jaromír
T1 Analysis of Transportation Companies in the Czech Republic by the Kohonen Networks - Identification of Industry Leaders
JF Communications - Scientific Letters of the University of Zilina
YR 2021
VO 23
IS 1
SP A32
OP A43
DO 10.26552/com.C.2021.1.A32-A43
UL https://komunikacie.uniza.sk/artkey/csl-202101-0008.php
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.