THE NEURAL NETWORK PREDICTING METHOD FOR OBJECT’S CONDITION DIAGNOSING ON THE METALLURGICAL ENTERPRISE

  • В. А. Емельянов
  • С. Г. Антощук

Abstract

Diagnostic object basic parameters time series analysis method of metallurgical enterprises realized and based on neural network prediction of this objects. The neural network structure for basic parameters of the moving mixers condition prediction has been described. Different methods comparison proved better efficacy prediction in case of neural network forecast background.

Published
2019-02-27
How to Cite
Емельянов, В., & Антощук, С. (2019). THE NEURAL NETWORK PREDICTING METHOD FOR OBJECT’S CONDITION DIAGNOSING ON THE METALLURGICAL ENTERPRISE. Electrotechnic and Computer Systems, (13(89), 70-76. Retrieved from https://eltecs.opu.ua/index.php/journal/article/view/1515
Section
Design, Control and Diagnostics

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