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- Article name
- Working out of neural network algorithm for management of cancerogenic risks in zones of influence of sources of harmful emissions from power installations of industrial enterprises
- Authors
- KOSYGIN V. Yu., , kosyginv@inbox.ru, Computing Center of the Far Eastern Branch of the Russian Academy of Sciences, Khabarovsk, Russia
KATIN V. D., , katinvd@mail.ru, Far Eastern State Transport University, Khabarovsk, Russia
AKHTYAMOV M. H., , enf@festu.khv.ru, Far Eastern State Transport University, Khabarovsk, Russia
DOLGOV R. V., , dolgovrv@festu.khv.ru, Far Eastern State transport university, Khabarovsk, Russia
- Keywords
- emission of harmful substances / power installations / synaptic weights / industrial enterprises / the forecast of risks / neural network / environment / algorithm / program realization
- Year
- 2021 Issue 1 Pages 41 - 45
- Code EDN
- Code DOI
- 10.52190/2073-2589_2021_1_41
- Abstract
- The method of neural network modelling investigates a problem of air pollution by emissions of harmful substances from power installations of the industrial enterprises. Proceeding from the analysis of the saved up given and available mathematical models of dispersion, as predicates for construction of an artificial neural network data about speed of a wind, effective height of emission, volume of emission, concentration of polluting substance in emission, distance on an axis of a wind to a control point are used. The algorithm of training of an artificial neural network and its program realization is developed. The dependence allowing operatively to count cancerogenic risks, connected with influence of polluting substances on a human body is received. Ways of increase of accuracy and efficiency of drawing up of forecasts of these risks to zones of influence of emissions of harmful substances from power installations of the industrial enterprises are defined.
- Text
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