The algorithm for neuro-fuzzy network construction based on model of corporate bankruptcy risk estimation

dc.contributor.author	Klebanova T. S.
dc.contributor.author	Gvozdytskyi V. S.
dc.description.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.
dc.identifier.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.
dc.identifier.uri	http://repository.hneu.edu.ua/handle/123456789/25486
dc.language.iso	en_US
dc.subject	algorithm
dc.subject	bankruptcy
dc.subject	corporation
dc.subject	crisis
dc.subject	estimation
dc.subject	MatLab
dc.subject	model
dc.subject	factors
dc.subject	forecasting
dc.title	The algorithm for neuro-fuzzy network construction based on model of corporate bankruptcy risk estimation
dc.type	Book chapter

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