Prediction of Silicon Content in Blast Furnace Hot Metal Using Partial Least Squares (PLS)
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چکیده
منابع مشابه
Using Non-linear Garch Model to Predict Silicon Content in Blast Furnace Hot Metal
Forecasting of silicon content in blast furnace (BF) hot metal has always been an important tool in the control of iron-making process. To get an accurate prediction of silicon content is an urgent task for BF operators. The approach based on generalized autoregressive conditional heteroskedastic (GARCH) has been introduced to predict step-ahead silicon content in BF hot metal. The algorithm ha...
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ژورنال
عنوان ژورنال: ISIJ International
سال: 2005
ISSN: 0915-1559,1347-5460
DOI: 10.2355/isijinternational.45.1943