Pavlova Svetlana Anatolyevna (Candidate of Technical Sciences, Associate Professor, Academy of Law and Management of the Federal Penitentiary Service)
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The article discusses the features of using intelligent methods for modeling and forecasting economic processes. In particular, a methodical approach has been developed for analyzing the financial stability of an enterprise, which is based on the theory of fuzzy logic and neural networks, and provides a high level of adequacy of the formalization of expert knowledge about the impact of various indicators on the financial condition of a business entity.
Keywords:fuzzy logic, enterprise, modeling, financial stability.
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Citation link: Pavlova S. A. Modeling of financial stability of enterprises using the theory of fuzzy logic and neural networks // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№02. -С. 85-88 DOI 10.37882/2223-2966.2022.02.27 |
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