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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File | Description | Size | Format | |
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The algorithm for neuro-fuzzy network construction based on model of corporate bankruptcy risk estimation.pdf | 322,1 kB | Adobe PDF | View/Open |
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