Multilayer perceptron application problems in predicting bankruptcy of companies

Автор: Lihenko I.I.

Журнал: Экономика и бизнес: теория и практика @economyandbusiness

Статья в выпуске: 7 (53), 2019 года.

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The increase in the number of bankruptcies leads to the loss of creditors of part of their capital, can lead to a decrease in investment activity, the chain of subsequent bankruptcies, a decline in the consumer market, a reduction in jobs. In Russia, the number of bankruptcies remains approximately at the level of values in the "crisis" years. This paper analyzes the issues that will face the analyst who wants to apply a relatively new and promising approach to forecasting - neural network modeling, and describes the direction of their solutions.

Neural networks, bankruptcy, multilayered perceptron

Короткий адрес: https://sciup.org/170181847

IDR: 170181847   |   DOI: 10.24411/2411-0450-2019-11087

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