Оцінювання ймовірності банкрутства підприємств за допомогою дискримінантного аналізу та нейронних мереж
The models of discriminant analysis and artificial neural networks for forecasting and calculating the probability of bankruptcy of companies are investigated. The definition and essence of the term "bankruptcy", the main causes of the financial crisis of Ukrainian companies and statistica...
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| Date: | 2018 |
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| Main Authors: | , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2018
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| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/139707 |
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| Journal Title: | System research and information technologies |
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System research and information technologies| Summary: | The models of discriminant analysis and artificial neural networks for forecasting and calculating the probability of bankruptcy of companies are investigated. The definition and essence of the term "bankruptcy", the main causes of the financial crisis of Ukrainian companies and statistical data reflecting the dynamics of bankruptcies of Ukrainian companies in recent years are analyzed. A model of an artificial neural network of the perceptron type was developed and a comparative analysis with models of Ukrainian economists was made using examples of financial analysis of several well-known Ukrainian companies. The advantages and problems of application of the considered models, as well as their practical importance in the current economic conditions, are analyzed. |
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