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@article{32201,
author = {Vochozka, Marek and Sheng, Penfei},
article_location = {Žilina},
article_number = {2},
keywords = {transport company; financial problems; prediction; neural network; model},
language = {eng},
issn = {1335-4205},
journal = {Communications : scientific letters of the University of Žilina},
title = {The application of artificial neural networks on the prediction of the future financial development of transport companies},
volume = {vol. 18},
year = {2016}
}
TY - JOUR
ID - 32201
AU - Vochozka, Marek - Sheng, Penfei
PY - 2016
TI - The application of artificial neural networks on the prediction of the future financial development of transport companies
JF - Communications : scientific letters of the University of Žilina
VL - vol. 18
IS - 2
SP - 62-67
EP - 62-67
PB - EDIS - vydavatel´ské centrum ŽU
SN - 13354205
KW - transport company
KW - financial problems
KW - prediction
KW - neural network
KW - model
N2 - 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.
ER -
VOCHOZKA, Marek and Penfei SHENG. The application of artificial neural networks on the prediction of the future financial development of transport companies. \textit{Communications : scientific letters of the University of Žilina}. Žilina: EDIS - vydavatel´ské centrum ŽU, vol. 18, No~2, p.~62-67. ISSN~1335-4205. 2016.
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