| VOCHOZKA, Marek, Jaromír VRBKA and Petr ŠULEŘ. Bankruptcy or success? The effective prediction of a company's financial development using LSTM. Sustainability. Basel, Switzerland: MDPI, vol. 12, No 18, p. nestránkováno, 18 pp. ISSN 2071-1050. doi:10.3390/su12187529. 2020. |
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@article{55464,
author = {Vochozka, Marek and Vrbka, Jaromír and Šuleř, Petr},
article_location = {Basel, Switzerland},
article_number = {18},
doi = {http://dx.doi.org/10.3390/su12187529},
keywords = {bankruptcy models; company; long short-term memory (LSTM); neural networks (NN); prediction; success},
language = {eng},
issn = {2071-1050},
journal = {Sustainability},
title = {Bankruptcy or success? The effective prediction of a company's financial development using LSTM},
url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-85091137788&origin=resultslist&sort=plf-f&src=s&st1=Bankruptcy+or+success%3f+The+effective+prediction+of+a+company%27s+financial+development+using+LSTM&st2=&sid=ae2d7679e9af4b3898dc19e0e6b0128f&sot=b&s},
volume = {12},
year = {2020}
}
TY - JOUR
ID - 55464
AU - Vochozka, Marek - Vrbka, Jaromír - Šuleř, Petr
PY - 2020
TI - Bankruptcy or success? The effective prediction of a company's financial development using LSTM
JF - Sustainability
VL - 12
IS - 18
SP - nestránkováno
EP - nestránkováno
PB - MDPI
SN - 20711050
KW - bankruptcy models
KW - company
KW - long short-term memory (LSTM)
KW - neural networks (NN)
KW - prediction
KW - success
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85091137788&origin=resultslist&sort=plf-f&src=s&st1=Bankruptcy+or+success%3f+The+effective+prediction+of+a+company%27s+financial+development+using+LSTM&st2=&sid=ae2d7679e9af4b3898dc19e0e6b0128f&sot=b&s
L2 - https://www.scopus.com/record/display.uri?eid=2-s2.0-85091137788&origin=resultslist&sort=plf-f&src=s&st1=Bankruptcy+or+success%3f+The+effective+prediction+of+a+company%27s+financial+development+using+LSTM&st2=&sid=ae2d7679e9af4b3898dc19e0e6b0128f&sot=b&s
N2 - The objective of this contribution is to create a methodology for the identification of a company failure (bankruptcy) using artificial neural networks with at least one long short-term memory (LSTM) layer. A bankruptcy model was created using deep learning, for which at least one layer of LSTM was used for the construction of the NN. For the purposes of this contribution, Wolfram's Mathematica 13.
ER -
VOCHOZKA, Marek, Jaromír VRBKA and Petr ŠULEŘ. Bankruptcy or success? The effective prediction of a company's financial development using LSTM. \textit{Sustainability}. Basel, Switzerland: MDPI, vol.~12, No~18, p.~nestránkováno, 18 pp. ISSN~2071-1050. doi:10.3390/su12187529. 2020.
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