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A neural network model for predicting the silicon content of the hot metal at No. 2 blast furnace of SSAB Lulea
Luleå tekniska universitet.
Luleå tekniska universitet.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Sustainable Process Engineering.
1996 (English)In: 55th Ironmaking Conference proceedings: Meeting March 24-27, 1996 / [ed] D.H. Wakelin, Warrendale, Pa.: Iron and Steel Society , 1996, p. 211-221Conference paper, Published paper (Refereed)
Abstract [en]

To predict the Si content of hot metal at No. 2 blast furnace, SSAB, Lulea Works, a three-layer back-propagation network model has been established. The network consists of twenty-eight inputs, six middle nodes and one output and uses a generalised delta rule for training. Different network structures and different training strategies have been tested. A well-functioning network with dynamic updating has been designed. The off-line test and the on-line application results showed that more than 80% of the predictions can match the actual silicon content in hot metal in a normal operation, if the allowable prediction error was set to plus/minus0.05% Si, while the actual fluctuation of the Si content was larger than plus/minus0.10% Si.

Place, publisher, year, edition, pages
Warrendale, Pa.: Iron and Steel Society , 1996. p. 211-221
National Category
Metallurgy and Metallic Materials
Research subject
Process Metallurgy
Identifiers
URN: urn:nbn:se:ltu:diva-38283Local ID: ca13b230-b163-11dd-9c9d-000ea68e967bISBN: 1-886362-12-2 (print)OAI: oai:DiVA.org:ltu-38283DiVA, id: diva2:1011782
Conference
Ironmaking Conference : 24/03/1996 - 27/03/1996
Note
Godkänd; 1996; 20081113 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf