A modeling method for thermal state of blast furnace

作者：Lin, Shukuan^*; Qiao, Jianzhong

来源：Dynamics of Continuous Discrete and Impulsive Systems: Series A - Mathematical Analysis , 2006, 13: 1246-1249.

The paper proposes a kernel based modeling method for thermal state of blast furnace, and an improved Support Vector Regression(SVR) to enhance the accuracy of modeling. Firstly, we extract features from many factors influencing thermal state of blast furnace via Kernel Principal Component Analysis (KPCA) in order to remove correlations to each other and avoid their information's overlapping or counteracting. Then we set up model of thermal state of blast furnace adopting SVR, and propose an improved SVR against the problem of lower-accuracy at peak points. The system realization shows that the proposed modeling method, which combines KPCA with the improved SVR, has higher accuracy compared to normal SVR method, explaining that the method is effective to thermal state modeling of blast furnace.

• 出版日期2006-12
• 单位东北大学