APPLICATION OF ARTIFICIAL INTELLIGENCE SOLUTIONS IN DIRECTING UNIVERSITY TEACHERS TO INNOVATIVE ACTIVITIES
Abstract
The article discusses issues related to the possibilities of using artificial neural networks in assessing, monitoring and analyzing the results of innovative educational activities of teachers of higher educational institutions. A method for differential determining the direction of innovative activity for teachers according to some conditional characteristics identified through a survey using a software neurosimulator is described. The characteristics of the Neurosimulator 1.0 application are given, as well as the stages of training based on samples of evaluation features, testing and obtaining a forecast of an artificial neural network.
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