Artificial neural networks in the creation of systems for monitoring and evaluating the quality of knowledge
Narzullo MamatovNational Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers; Republic of UzbekistanSanjar IbrokhimovNational Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers; Republic of UzbekistanAbdurashid SamijonovNational Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers; Republic of Uzbekistan
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Annotatsiya
This article is devoted to the use of the integration of artificial neural networks (ANNs) in the development of knowledge quality monitoring and assessment systems, the proposed system using ANNs adaptive learning capabilities allows for automation of tasks such as content validation and relevance assessment. In addition, theoretical foundations and existing problems are discussed in this work. Also, the possibilities of increasing the reliability and relevance of the knowledge of various fields of ANN were studied.
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Koʻrsatkichlar — AkademScholar · Tez orada