Neural network to diagnose lining condition

International Conference on Mechanical Engineering, Automation and Control Systems 2017

机械制造;无线电电子学;计算机科学

Yemelyanov, V.A.^1 ; Yemelyanova, N.Y.^1 ; Nedelkin, A.A.^2 ; Zarudnaya, M.V.^2

Financial University under the Government of the Russian Federation, 49 Leningradsky Prospekt, Moscow

125993, Russia^1

Plekhanov Russian University of Economics, Stremyanny Lane 36, Moscow

117997, Russia^2

关键词: Classification errors;    Iron and steel works;    Neural network structures;    Specialized software;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/327/2/022107/pdf
DOI  :  10.1088/1757-899X/327/2/022107

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The paper presents data on the problem of diagnosing the lining condition at the iron and steel works. The authors describe the neural network structure and software that are designed and developed to determine the lining burnout zones. The simulation results of the proposed neural networks are presented. The authors note the low learning and classification errors of the proposed neural networks. To realize the proposed neural network, the specialized software has been developed.