The technique for the operative forecast of a high level of pollution of atmospheric air in cities is offered on the basis of use neural networks technologies. Calculation of the generalized parameter describing probability of a high level of air pollution in city depending on values of meteorological parameters.
полимерные производства, прогноз уровня загрязнения, атмосферный воздух, нейронные сети, Polymeric manufactures, the forecast of a level of pollution, quality of atmospheric air, neural networks
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