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- Article name
- Application of neural networks for treating biomonitoring data of pollution
- Authors
- KUZNETSOV N. P., , tmitmm@istu.ru, Izhevsk State Technical University (ISTU), Izhevsk, Russia
YANNIKOV I. M., , imyannikov@mail.ru, FBGOU "Izhevsk State Technical University", Izhevsk, Russia
TELEGINA M. V., , mari_tel@mail.ru, FBGOU "Izhevsk State Technical University", Izhevsk, Russia
- Keywords
- biomonitoring / neural networks / architecture / pollutants / specific background content / dangerous objects / zone of influence
- Year
- 2019 Issue 4 Pages 41 - 44
- Code EDN
- Code DOI
- Abstract
- The article discusses the features of the organization of pollution monitoring using bioindicators. The analysis of methods for processing the results of pollution biomonitoring has been carried out; a new method has been proposed using neural networks. The structure of the biomonitoring data processing system of objects affecting the environment (OS), the algorithm of the biomonitoring data processing system are shown, and the results of calculations of the specific background pollutants in the environment using neural networks are shown. The training was conducted on the standards of bioindicators stored in the system database. A comparative analysis of the reliability of the results depending on the applied architecture of neural networks.
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