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Model of Hot Metal Silicon Content in Blast Furnace Based on Principal Component Analysis Application and Partial Least Square

SHI Lin , LI Zhi-ling , YU Tao , LI Jiang-peng

钢铁研究学报(英文版)

In blast furnace (BF) iron-making process, the hot metal silicon content was usually used to measure the quality of hot metal and to reflect the thermal state of BF. Principal component analysis (PCA) and partial least-square (PLS) regression methods were used to predict the hot metal silicon conten...

关键词: hot metal silicon content , partial least square , principal component analysis , temperature prediction