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An expert network for prediction and control of the silicon content of the hot metal
Luleå tekniska universitet.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Sustainable Process Engineering.
1996 (English)In: The International Conference on Modelling and Simulation in Metallurgical Engineering and Materials Science: June 11 - 13, 1996, Beijing, China / [ed] Zongsen Yu, Beijing: Metallurgical Industry Press , 1996, 417-422 p.Conference paper (Refereed)
Abstract [en]

To predict and control the silicon content of the hot metal ([%Si]) in blast furnace ironmaking process, an expert network consisted of a neural network model and an expert system has been established and tested off-line with the practical process data. The applicability of either the neural network model or the expert system for the prediction of [%Si] is determined by the experiential rules. In general, the predictions are made by the neural network model in the periods of the normal operation of the furnace, and performed by the expert system in the periods of the unsteady operation of the furnace. The operation guidance for adapting the furnace process is recommended by the expert system

Place, publisher, year, edition, pages
Beijing: Metallurgical Industry Press , 1996. 417-422 p.
Research subject
Process Metallurgy
Identifiers
URN: urn:nbn:se:ltu:diva-35361Local ID: 9de68590-b0c1-11dd-9c9d-000ea68e967bISBN: 750241908XOAI: oai:DiVA.org:ltu-35361DiVA: diva2:1008614
Conference
International Conference on Modelling and Simulation in Metallurgical Engineering and Materials Science : 11/06/1996 - 13/06/1996
Note
Godkänd; 1996; 20081112 (andbra)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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