Abstract
This paper is devoted to the problems and features of database creation in intelligent systems for assessing the efficiency of scientific and technical solutions. The system data model developed by the authors and the principles of its operation are described. This paper also considers the process of training sampling and the analysis of various teaching methods for solving the presented problem. The implementation of the developed model is made using mathematical modeling. The initial data was the data of applications for grants in the field of technical sciences related to the fuel and energy complex.
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