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A new approach for forecasting silicon content in blast furnace hot metal is presented based on the principal component regression. Firstly, with the pre-processed data selected from Laiwu Iron and Steel Group Co., the eigenvalues and eigenvectors of the data correlation matrix are calculated. Then the eigenvectors are used for calculation of the principal components and four of them are selected...
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