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Integration of artificial neural networks and knowledge bases
Golovko, V. A., Kroshchanka, A. A., Golenkov, V. V., Ivashenko, V. P., Kovalev, M. V., Taberko, V. V., Ivaniuk, D. S.
This article reviews the questions and directions of integration of artificial neural networks
Russian students on the potential and limitations of artificial intelligence in education
Aleshkovski I.A., Gasparishvili A.T., Narbut N.P., Krukhmaleva O.V., Savina N.E.
on the Russian university students’ assessment of their personal experience of using generative AI models (neural
Генеративный искусственный интеллект как фактор новых возможностей для продакшена
Кондратьева А.А., Куцубеева М.А., Водопетов С.В.
. Henceforth, the application of neural networks is expected to further expand due to technological
Применение методов нейросетевого моделирования при решении начально-краевых задач для дифференциальных уравнений в частных производных
Вершинин, В. Е., Пономарев, Р. Ю., Vershinin, V. E., Ponomarev, R. Yu.
of the neural network. The criteria for the quality of training in this case are inconsistencies in the equation
Convolutional Neural Network Based Deep Neural Network Model for Electrocardiogram Records Classification
Khudhur A.M., Alwan M.H., Al Omairi Q., Mahmood O.A., Hammadi Y.I., Muthanna M.S.A., Aziz A., Muthanna A.
neural network, which exhibits both robustness and efficiency in its classification performance. Thus
Principles of decision-making systems building based on the integration of neural networks and semantic models
Golovko, V. A., Kroshchanka, A., Ivashenko, V. P., Kovalev, M., Taberko, V., Ivaniuk, D. S.
This article reviews the benefits of integration neural network and semantic models for building
Trees classification based on Fourier coefficients of the sapflow density flux
Efrosinin D., Kochetkova I., Stepanova N., Yarovslavtsev A., Samouylov K., Valentini R.
In this paper we study the possibility to use the artificial neural networks for trees
Developing a computer system for student learning based on vision-language models
Shchetinin E.Yu., Glushkova A.G., Demidova A.V.
In recent years, artificial intelligence methods have been developed in various fields
Review of online X-ray diagnostic services based on artificial neural networks in dentistry; [Обзор рентгенодиагностических on-line сервисов, основанных на искусственных нейронных сетях в стоматологии]
Mokrenko M.E., Guseynov N.A.O., Alhaffar J., Tuturov N.S., Sarkisyan M.S.
artificial neural networks (ANNs) in dentistry, especially for cephalometric analysis. Materials and methods
NEURAL NETWORK TECHNOLOGY IN THE LEGAL SPACE: THE ECONOMIC AND SOCIAL BACKGROUND OF LEGAL REGULATION
Dubina M.N.
The article discusses the possibility of using artificial intelligence based on neural network

Страница 14 из 6033

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