"PREDICTING BANKRUPTCY IN ROMANIA USING ARTIFICIAL NEURAL NETWORK "-Reference-Cited by-同舟云学术

"PREDICTING BANKRUPTCY IN ROMANIA USING ARTIFICIAL NEURAL NETWORK "

Published:2022-12-20 Issue:3 Volume:14 Page:211-218
ISSN:2067-3604
Container-title:International Journal of Modern Manufacturing Technologies
language:
Short-container-title:IJMMT

Author:

Pop Ioan Daniel, ,Coroiu Adriana Mihaela,

Abstract

In this paper we will present the results achieved from our experiments which predict the bankruptcy of limited liability companies in Romania, using artificial neural networks. All information and data used were received from the Romanian Ministry of Public Finance and National Trade Register, the data being reported by companies in 2018 and 2019. The data set is mixed, consisting of both public and private data. The private data could be used following an agreement with the two institution mentioned above. The sample consists of both healthy companies and bankrupt companies, each company comprising a total of 17 variables to analyze. The result obtained was good, more precisely following the experiments performed, it resulted in an accuracy of 97.67% for training, respectively 96.27% for testing.

Publisher

Asociatia Profesionala in Tehnologii Moderne de Fabricatie

Subject

Industrial and Manufacturing Engineering

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