Neural Network Using to Analyze the Results of Environmental Monitoring of Water

被引：2
|
作者：
Usachev, V. A. [1 ]
Voronova, L., I [1 ]
Voronov, V., I [1 ]
Zharov, I. A. [1 ]
Strelnikov, V. G. [1 ]
机构：
[1] Moscow Tech Univ Commun & Informat, Moscow, Russia
来源：
2019 SYSTEMS OF SIGNALS GENERATING AND PROCESSING IN THE FIELD OF ON BOARD COMMUNICATIONS | 2019年
关键词：
big data; neural network; machine learning; water quality monitoring; sensors;
D O I：
10.1109/sosg.2019.8706733
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The acuteness of the environmental tracking problem is constantly growing. Currently, environmental issues are analyzed using big data. Many open data sources (Kaggle, Open Data Portal of the Russian Federation, etc.) contain a variety of environmental information. Based on the data and using the tools for analyzing big data and machine learning, a system has been developed that simulates the state of water quality in the Moscow waters. On the basis of the indicators obtained, the neural network was trained, which classifies the state of the reservoir into good and deviant.
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页数：6
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