| Title: | Neural Network Based Steel Melting Furnace Short Circuit Parameters Identification |
| Authors: | Paranchuk, Roman Paranchuk, Yaroslav |
| 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. |
| Issue Date: | 2013 |
| Publisher: | University of West Bohemia |
| Document type: | článek konferenční příspěvek article conferenceObject |
| URI: | http://hdl.handle.net/11025/11615 |
| ISBN: | 978-80-261-0247-2 |
| Keywords: | obloukové pece;krátké obvody;neuronové sítě;řídící systémy;matematické modelování |
| Keywords in different language: | arc steel furnaces;short circuits;neural networks;control systems;mathematical modelling |
| 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. |
| Rights: | © University of West Bohemia |
| Appears in Collections: | CPEE – AMTEE 2013 CPEE – AMTEE 2013 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Paranchuk.pdf | Plný text | 338,89 kB | Adobe PDF | View/Open |
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