Analysis of business companies based on artificial neural networks
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 subsequent...
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Format: | Article |
Language: | English |
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EDP Sciences
2019-01-01
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Series: | SHS Web of Conferences |
Subjects: | |
Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2019/02/shsconf_ies2018_01013.pdf |
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author | Machová Veronika Vochozka Marek |
author_facet | Machová Veronika Vochozka Marek |
author_sort | Machová Veronika |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-14T22:07:28Z |
format | Article |
id | doaj.art-3399d9eafda2418381345fd239718e4d |
institution | Directory Open Access Journal |
issn | 2261-2424 |
language | English |
last_indexed | 2024-12-14T22:07:28Z |
publishDate | 2019-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | SHS Web of Conferences |
spelling | doaj.art-3399d9eafda2418381345fd239718e4d2022-12-21T22:45:50ZengEDP SciencesSHS Web of Conferences2261-24242019-01-01610101310.1051/shsconf/20196101013shsconf_ies2018_01013Analysis of business companies based on artificial neural networksMachová VeronikaVochozka MarekBusiness 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.https://www.shs-conferences.org/articles/shsconf/pdf/2019/02/shsconf_ies2018_01013.pdfArtificial neural networksCluster analysisBusiness companiesAnalysisPrediction |
spellingShingle | Machová Veronika Vochozka Marek Analysis of business companies based on artificial neural networks SHS Web of Conferences Artificial neural networks Cluster analysis Business companies Analysis Prediction |
title | Analysis of business companies based on artificial neural networks |
title_full | Analysis of business companies based on artificial neural networks |
title_fullStr | Analysis of business companies based on artificial neural networks |
title_full_unstemmed | Analysis of business companies based on artificial neural networks |
title_short | Analysis of business companies based on artificial neural networks |
title_sort | analysis of business companies based on artificial neural networks |
topic | Artificial neural networks Cluster analysis Business companies Analysis Prediction |
url | https://www.shs-conferences.org/articles/shsconf/pdf/2019/02/shsconf_ies2018_01013.pdf |
work_keys_str_mv | AT machovaveronika analysisofbusinesscompaniesbasedonartificialneuralnetworks AT vochozkamarek analysisofbusinesscompaniesbasedonartificialneuralnetworks |