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Browsing by Subject ontological approach

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Showing results 1 to 10 of 10
Issue DateTitleAuthor(s)
2022Convergence and integration of artificial neural networks with knowledge bases in next-generation intelligent computer systemsKovalev, M.; Kroshchanka, A.; Golovko, V.
2021Implementation principles of the training subsystem for end-users and developers of intelligent systemsGrakova, N. V.; Koroleva, M.; Bobrov, G.
2021Methodological problems of the current state of works in the field of Artificial intelligenceGolenkov, V. V.; Guliakina, N. A.; Golovko, V. A.; Krasnoproshin, V. V.
2022Next-generation intelligent computer systems and technology of complex support of their life cycleGolenkov, V.; Gulyakina, N.
2021Ontological approach to the building of semantic models of user interfacesSadouski, M. E.
2021Ontological approach to the development of a software model of a semantic computer based on the traditional computer architectureShunkevich, D. V.; Koronchik, D. N.
2021Ontological approach to the development of hybrid problem solvers for intelligent computer systemsShunkevich, D. V.
2022Problems and prospects of automating various types and fields of human activity with the help of next-generation intelligent computer systemsGolenkov, V.; Taranchuk, V. B.; Kovalev, M.
2022Semantic theory of programs in next-generation intelligent computer systemsZotov, N.
2023Versioning model of neural network problem-solving methods in intelligent systemsKovalev, M.