| Issue |
SHS Web Conf.
Volume 61, 2019
Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 12 | |
| Section | Strategic Partnerships in International Trade | |
| DOI | https://doi.org/10.1051/shsconf/20196101013 | |
| Published online | 30 January 2019 | |
Analysis of business companies based on artificial neural networks
Institute of Technology and Business in České Budějovice, School of Expertness and Valuation, Okružní 517/10, 37001 České Budějovice, Czech Republic
* Corresponding author: machova@mail.vstecb.cz
Business companies have many kinds of products that they sell to other businesses, consumers, etc. They are a driving force of economies, especially in developing countries. 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. The result can be generalized and we can predict the number of companies that will be creditworthy or bankrupt in the following period. This makes it possible to estimate not only the overall growth or decline of business companies in the Czech Republic, but also to estimate the structure of the companies in terms of their size, turnover or volume of sales.
Key words: Artificial neural networks / Cluster analysis / Business companies / Analysis / Prediction
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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