VOCHOZKA, Marek, Jaromír VRBKA a Petr ŠULEŘ. Bankruptcy or success? The effective prediction of a company's financial development using LSTM. Sustainability. Basel, Switzerland: MDPI, 2020, roč. 12, č. 18, s. nestránkováno, 18 s. ISSN 2071-1050. Dostupné z: https://dx.doi.org/10.3390/su12187529. |
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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 a Petr ŠULEŘ. Bankruptcy or success? The effective prediction of a company's financial development using LSTM. \textit{Sustainability}. Basel, Switzerland: MDPI, 2020, roč.~12, č.~18, s.~nestránkováno, 18 s. ISSN~2071-1050. Dostupné z: https://dx.doi.org/10.3390/su12187529.
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