ID záznamu: | 446976 |
Kategória: | ADM |
Autor: | Horváthová Jarmila (34%) |
Autor: | Mokrišová Martina (33%) |
Autor: | Petruška Igor (33%) |
Názov: | Selected methods of predicting financial health of companies: neural networks versus discriminant analysis [elektronický dokument] |
Zdroj: | Information [elektronický dokument] |
Lokácia: | Roč. 12, č. 12. - Bazilej : Multidisciplinary Digital Publishing Institute, (2021), s. 1-23 |
ISSN: | 2078-2489 |
Ohlas: | [1] 0859. SHINKEVICH, A., AKHMETSINA, A.R., KHALILOV, R.R. Development of a methodology for forecasting the sustainable development of industry in Russia based on the tools of factor and discriminant analysis. In Mathematics, ISSN 2227-7390. 859, roč. 10, č. 6, art. no. 859. SCOPUS;WOS:000774165200001. |
Ohlas: | [1] 2022. HUDÁKOVÁ STAŠOVÁ, Lenka. Evaluation of the financial health of food retail outlets in a market environment. A case study from the Slovak Republic. In E + M. Ekonomie a management, ISSN 1212-3609. 2022, roč. 25, č. 3, s. 122-141. SCOPUS;WOS:000863216900008. |
Ohlas: | [1] 2023. ŠPILER, M., MATEJIC, T., KNEZEVIC, S. et al. Assessment of the bankruptcy risk in the hotel industry as a condition of the Covid-19 crisis using time-delay neural networks. In Sustainability, ISSN 2071-1050. 2023, roč. 15, č. 1, art. no. 272. WOS:000908947400001; SCOPUS. |
Ohlas: | [1] 2023. VALASKOVA, K., GAJDOSIKOVA, D., BELAS, J. Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries. In Oeconomia Copernicana, ISSN 2083-1277. 2023, roč. 14, č. 1, s. 253-293. WOS:000973580700007; SCOPUS. |
Ohlas: | [1] 2022. MICHALKOVA, L., KOVACOVA, M., CEPEL, M. et al. Insolvency prediction and corporate bankrutpcy model in Visegrad Group countries. In Transformations in business & economics, ISSN 1648-4460. 2022, roč. 21, č. 2, s. 529-548. WOS:000927592100008; SCOPUS. |
Ohlas: | [1] 2022. GAVUROVÁ, B., JENČOVÁ, S., BAČIK, R. et al. Artificial intelligence in predicting the bankruptcy of non-financial corporations. In Oeconomia Copernicana, ISSN 2083-1277. 2022, roč. 13, č. 4, s. 1215-1251. WOS:000907675800008; SCOPUS. |
Ohlas: | [1] 2023. LETKOVSKÝ, S., JENČOVÁ, S., VAŠANIČOVÁ, P. et al. Predicting bankruptcy using artificial intelligence: the case of the engineering industry. In Economics and sociology, ISSN 2071-789X. 2023, roč. 16, č. 4, s. 178-190. SCOPUS. |
Ohlas: | [1] 2023. DURICA, M., MAZANEC, J., FRNDA, J. Neural network modelling of non-prosperity of Slovak companies. In Engineering management in production and services, ISSN 2543-6597. 2023, roč. 15, č. 3, s. 1-13. SCOPUS. |
Oblasť výskumu: | 080 |