| Articolul precedent |
| Articolul urmator |
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 SM ISO690:2012ЧАЙКОВСКАЯ, Марина. Прогнозирование надежности банков методами нейронных сетей. In: Strategii şi politici de management în economia contemporană, Ed. 4, 27-28 martie 2015, Chişinău. Chişinău: Departamentul Editorial-Poligrafic al ASEM, 2015, Ediţia 4, pp. 87-92. ISBN 978-9975-75-722-9. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Strategii şi politici de management în economia contemporană Ediţia 4, 2015 |
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Conferința "Strategii şi politici de management în economia contemporană" 4, Chişinău, Moldova, 27-28 martie 2015 | ||||||
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| Pag. 87-92 | ||||||
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The paper outlines the key principles of analysis of financial stability of the financial and economic organizations of the banking sector. The research focuses on the use of the openly available financial information of banks and recommends a wide range of interested users to make different investment decisions. The necessity of primary processing of rated incoming information in the form of time series is established. Provides the recommendations for improving the methods of forecasting financial stability of the bank based on multilayer perceptron neural networks. The article proves the feasibility of using a networks application of the modeling methodology. The results of practical calculations application of the methodology for the Ukrainian financial market are provided. |
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| Cuvinte-cheie Prognosis models, the financial stability of the bank, time series, perceptron neural network model |
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