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. Approaches to definition of time of formation of high ground concentration of impurity are developed.
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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