Neuromodelling of financial and economic security of the region

Abstract

In this work an algorithm for using the apparatus of the theory of neural networks for the estimation of the economic system of the regions is developed. The obtained economic-mathematical model allows to perform clusterization of territorial units according to selected indicators of economic security. Testing of the developed algorithm is conducted on the basis of data on the state of economic development of the regions of Ukraine. The result of the simulation is a cluster structure that divided the totality of regions of Ukraine into four clusters according to selected classification characteristics. The results obtained have a clear economic interpretation.