Automation of Search for University Employees Scientific Papers Using Artificial Intelligence Methods

Abstract

The paper substantiates a model of an integrated intelligent system of university research activities (IIS of URAs), which provides for a search for scientific papers and ranks employees. Designed neural network works via the Scikit-Learn package and is used in the implementation of the intelligent system model. This package allows the intelligent system to search for authors scientific papers correctly and quickly. The system is trained using a neural network based on the Keras package. The authors of the article conducted research on further data forecasting and extrapolation for ranking employees.