Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison
Year of publication: |
2020
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Authors: | Horák, Jakub ; Vrbka, Jaromir ; Suler, Petr |
Published in: |
Journal of risk and financial management : JRFM. - Basel : MDPI, ISSN 1911-8074, ZDB-ID 2739117-6. - Vol. 13.2020, 3/60, p. 1-15
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Subject: | neural networks | support vector machine | bankruptcy model | prediction | bankruptcy | Neuronale Netze | Neural networks | Insolvenz | Insolvency | Prognoseverfahren | Forecasting model | Mustererkennung | Pattern recognition | Kreditwürdigkeit | Credit rating | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Prognose | Forecast |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/jrfm13030060 [DOI] hdl:10419/239148 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
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