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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Communications : scientific letters of the University of Žilina

ISSN

1335-4205

e-ISSN

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Svazek periodika

vol. 18

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

6

Strana od-do

62-67

Kód UT WoS článku

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EID výsledku v databázi Scopus

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