Прогнозування показників соціально-економічного розвитку регіону на основі нейромережного підходу

Abstract

In paper new approaches to the analysis and forecasting of key indicators are considered by preparation of the program of social and economic development of region which are based on application of artificial neural networks and neural networks packages. The results of the study on the use of neural networks to develop a regional program for the Lviv region on the example of forecasting the wage indices (in% to previous month) by means of the program STATISTICA Neural Networks.