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  • 标题:Analysis of business companies based on artificial neural networks
  • 本地全文:下载
  • 作者:Veronika Machová ; Marek Vochozka
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2019
  • 卷号:61
  • 页码:1-12
  • DOI:10.1051/shsconf/20196101013
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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.
  • 关键词:artificial neural networks;cluster analysis;business companies;analysis;prediction
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