The application of artificial neural networks on the prediction of the future financial development of transport companies

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F16%3A00000651" target="_blank" >RIV/75081431:_____/16:00000651 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

The application of artificial neural networks on the prediction of the future financial development of transport companies

Original language description

The aim of this article is to utilize artificial neural networks to predict potential financial problems in transport companies in the Czech Republic. It is logical that uncertain economic environment it is necessary for companies to be able to plan better, to report more precisely and to be able to better evaluate their future financial development. The text uses financial statement data, non-accounting data and six types of neural network. The autors predict how companies are able to overcome potential financial problems, within how many years a company might go bankrupt, or whether a company might go bankrupt within one calendar year.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AH - Economics

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Communications : scientific letters of the University of Žilina

ISSN

1335-4205

e-ISSN

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Volume of the periodical

vol. 18

Issue of the periodical within the volume

2

Country of publishing house

SK - SLOVAKIA

Number of pages

6

Pages from-to

62-67

UT code for WoS article

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EID of the result in the Scopus database

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