MATEC Web Conf.
Volume 224, 2018International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018)
|Number of page(s)||6|
|Section||Modelling of Technical Systems. CAD/CAM/CAE Systems|
|Published online||30 October 2018|
Neural network for decision support to determine the operating mode of lined equipment
Financial University under the Government of the Russian Federation, 49 Leningradsky Prospekt, Moscow, 125993, Russia
2 Plekhanov Russian University of Economics, 36, Stremyanny Lane, Moscow, 117997, Russia
* Corresponding author: firstname.lastname@example.org
The paper presents data on the problem of determining the operational mode of lined equipment at the iron and steel works. A neural network synthesis has been performed to determine the operational mode for lined equipment. The structure of the proposed neural network for decision support is described. The results of the modelling the neural network to determine the PM350 torpedo ladle car operational mode are presented.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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