Neural network modeling of motivation of key executives of regional government institutions as a regression problem

Abstract

Subject. This article deals with modeling of the motivation of top managers of regional government entities to bring the interests of the population and the State into line. Objectives. The article aims to create a neural network model of motivation of key executives of regional government institutions for the regression problem. Methods. To simulate the criteria of intangible and material motivation of the top managers of regional government institutions, as well as the criteria for the region's strategic potential, we used neural networks. Results. The article presents the results of neural network modeling of the motivation of top managers of regional government institutions, which in the case of the regression problem are more accurate than the classification task. Relevance. The results obtained can be useful to regional government entities to develop a rational system of financial and non-financial incentives of their senior leadership.