NEURAL NETWORK FORECASTING OF ENERGY CONSUMPTION OF A METALLURGICAL ENTERPRISE

The subject of the research is the methods of constructing and training neural networks as a nonlinear modeling apparatus for solving the problem of predicting the energy consumption of metallurgical enterprises. The purpose of this work is to develop a model for forecasting the consumption of the p...

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Bibliographic Details
Main Authors: Anna Bakurova, Olesia Yuskiv, Dima Shyrokorad, Anton Riabenko, Elina Tereschenko
Format: Article
Language:English
Published: Kharkiv National University of Radio Electronics 2021-03-01
Series:Сучасний стан наукових досліджень та технологій в промисловості
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Online Access:https://itssi-journal.com/index.php/ittsi/article/view/255
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