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Публікація Cognitive modeling of financial and economic provision of quality activation of higher education(2021) Ostapenko, V.; Tyshchenko, V.; Rats, O.; Omelchenko, O.The article develops and substantiates the need to determine the causal links between concepts that contribute to the quality of higher education. The lack of motivation for radical reform of higher education is still hampered by attempts to use the successful international experience of the process of building a full-fledged system of quality assurance in the provision of educational services. The aim of the article is to develop a model for identifying causal links between the concepts of financial and economic support, which contribute to improving the quality of higher education. A system of concepts of the internal state and macro-environment of financial security has been formed, which has a positive or negative impact on the intensification of higher education. A fuzzy cognitive map of the impact of financial and economic support on improving the quality of higher education has been built. Scales and criteria for providing a qualitative assessment of the impact of the concepts of financial and economic support for the intensification of higher education in accordance with the introduced linguistic sets are calculated on the basis of the trapezoidal number method. The concepts of internal state and macroenvironment for activation of higher education are defined. The negative impact on the level of public spending on education and opportunities for access to ICT, which constrains the prospects for development and realization of the potential of participants in the higher education process, has been proved. The negative impact on the quality of higher education on the migration of students to study abroad has been identified, as access to higher education is almost unlimited due to significant government procurement and relatively low cost of contract education, and the return on higher education is relatively low. According to the simulation results, in order to intensify higher education, it is necessary to focus on the quality of teachers, provide opportunities for development, competence development, obtaining a higher level of qualification, which includes postgraduate and doctoral studies and academic degrees. Currently, an important priority of the European innovation system is the formation of the European Research Area. That is why there is a need to find effective mechanisms to influence the quality of research and innovation, which is represented by the number of publications / patents / CAT, investment and innovation projects, grants. Support for these concepts will provide an opportunity to unleash scientific and innovative potential, have a high social status in society and will improve the quality of educational services provided.Публікація Neural Networks for Financial Stability of Economic System(2023) Tyschenko, V.; Vnukova, N.; Ostapenko, V.; Kanyhin, S.In the present economic landscape, securing the monetary steadiness of economic structures, augmenting their financial efficacy, and competitiveness necessitates the scrutiny of the financial state of enterprises, along with predicting their future progressions utilizing contemporary technologies and models. In acquiring information regarding the fluctuations of significant financial hazards, machine and deep learning techniques can offer more precise projections founded on vast-dimensional datasets, authorize the employment of unbalanced datasets, and preserve all accessible information. The aim of this investigation is to construct a neural network-driven model for assessing the financial stability of economic systems. The study employed financial and economic activity data from 12,573 enterprises and opted for specific financial ratios that generate a significant set of indicators suitable for forecasting the financial stability of economic systems. Both feedforward neural networks (FNN) and recurrent neural networks (RNN) were utilized in the model development. The constructed models were evaluated using established data science techniques.