Research on the Use of a Neural Network in the Intelligence System of University Research Activities

The need to use a neural network in the intelligence system of university research activities is substantiated in this article. This study takes into account the development process of the digital economy of the Russian Federation to ensure the set goals of the study of artificial intelligence for information processing based on the interpreted data processing. The system under development will allow the universities to track the work on research activities of the teaching staff, students and employees. Approbation of the main theoretical provisions of the proposed substantive (conceptual) model and the practical implementation of the solution developed on its basis were held in the final of the All-Russian Competition Digital Breakthrough by students of the V.I. Vernadsky Humanities and Pedagogical Academy of Sciences (branch) of the Crimean Federal University in Yalta and the Don State Technical University from November 27 to 29, 2020 within the RSEU case.