Please use this identifier to cite or link to this item: http://repository.hneu.edu.ua/handle/123456789/25486
Title: The algorithm for neuro-fuzzy network construction based on model of corporate bankruptcy risk estimation
Authors: Klebanova T. S.
Gvozdytskyi V. S.
Keywords: algorithm
bankruptcy
corporation
crisis
estimation
MatLab
model
factors
forecasting
Issue Date: 2020
Citation: Klebanova T. S., Gvozdytskyi V. S. The algorithm for neuro-fuzzy network construction based on model of corporate bankruptcy risk estimation / T. S. Klebanova, V. S. Gvozdytskyi // Системный анализ и моделирование процессов управления / Под ред. В. С. Пономаренко, Т. С. Клебановой, Л. С. Гурьяновой. – Братислава-Харьков, ВШЭМ – ХНЭУ им. С. Кузнеца, 2020. – С. 112–122.
Abstract: The paper is devoted to the construction of neuro-fuzzy models for solving various socio-economic problems. The algorithm for constructing a neural network in the MATLAB package is presented. A bankruptcy risk assessment model for corporations based on neuro-fuzzy networks is built.
URI: http://repository.hneu.edu.ua/handle/123456789/25486
Appears in Collections:Монографії (ЕКСА)



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