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ARCHITECTURE OF DISTRIBUTED REGISTRY OF MINING WASTE



The article focuses on urgency of activities in the area of ecological safety. The mechanism of detecting violations of ecological standards in harmful emission is described. The object is set to improve efficiency of toxic emission concentration control by means of prediction using neural networks. The current nature of the objective is justified. The documents with the required source data for reaching the set objective are presented. The advantages of this approach are described. The formula is given for checking the data in order that the proposed method is efficient. The parameters, scheme, setting if learning parameters and the structure of the selected neural network are presented. A variant of interpreting the obtained data is discussed. The conclusion on the relevance of the objective is drawn.

: 1
2019
ISBN: 0236-1493
УДК: 334.021
DOI: 10.25018/0236-1493-2019-01-0-112-118
Authors: Melkonyan R. G., Klyuev A. V.

Authors' Information:
Melkonyan R.G., Doctor of Technical Sciences, Professor,
Mining Institute, National University of Science and Technology «MISiS»,
119049, Moscow, Russia, e-mail: mrg-kanazit@mail.ru,
Klyuev A.V., Senior Lecturer, Institute of Economics and Management,
Pacific State University, 680035, Khabarovsk, Russia

Key words:
Distributed registry, waste management, multi-agent systems, open data, return waste, waste monitoring, architecture, model.

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