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.
Бесплатный доступ
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