Multilayer perceptron application in predicting bankruptcy of wholesale companies

Автор: Lihenko I.I.

Журнал: Экономика и бизнес: теория и практика @economyandbusiness

Статья в выпуске: 8 (54), 2019 года.

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This article presents an attempt to build a neural network to predict the bankruptcy of wholesale companies using the program STATISTICA. The question of sample formation and definition of included indicators is considered in detail on the practical example. The use of indicators of dynamics is offered and possibility of use of data perturbation as a way of the decision of "skew" of data is noted.

Neural networks, bankruptcy, multilayered perceptron, wholesale companies

Короткий адрес: https://sciup.org/170181909

IDR: 170181909   |   DOI: 10.24411/2411-0450-2019-11118

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