forecasting

Based on statistical data of economic and ecological indicators in industrial cities of the Dnipropetrovsk region the dynamics of state of the air and its quality was  estimated using the statistical methods and methods of decisions making in conditions of uncertainty. The interrelation between pollution levels and some economic factors was examined. The necessity of strengthening the economic levers at the municipal level in the field of ecological state of air quality in an industrial city was proved.

The aim of this paper is to substantiate efficiency of creation automation control system in a greenhouse with using solar radiation intensity and temperature predictions by neural networks