Neural Network Based Steel Melting Furnace Short Circuit Parameters Identification
Date issued
2013
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of West Bohemia
Abstract
The method of continuous control of arc furnace short circuit elements parameters based on neural network is
proposed. The block diagram has been developed and the synthesis of parameter identification neural network system has been
developed. The mathematical and digital models have been developed and the accuracy of identification has been studied. The
obtained results of model studies showed high accuracy of neural network identification of furnace short circuit parameters.
Description
Subject(s)
obloukové pece, krátké obvody, neuronové sítě, řídící systémy, matematické modelování
Citation
CPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 4th – 6th September 2013 Roztoky u Křivoklátu, Czech Republic, p. VI-11.