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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Main Authors: Machová Veronika, Vochozka Marek
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
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.
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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