|
|
|
| Application of Neural Network to Predict Sulphur Content in Hot Metal |
| WANG Wei1，CHEN Weilin2，YE Yong2，XU Zhihui2，JIA Bin2 |
| 1． Key Laboratory of Ferrous Metallurgy and Resources Utilization, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China; 2. Wuhan Iron and Steel Group Corporation, Wuhan 430082， Hubei, China |
|
|
|
|
Abstract A model for predicting the sulphur content in hot metal based on neural networks is introduced. Blast temperature, blast flux, top temperature, burden, coal injection rate, sulphur content in ore, sulphur content in coke, sulphur content in coal and silicon content of last tap were selected as inputs. The inputs were treated with time lag to improve prediction. Some methods were adopted to resolve the problem of local convergence and long learning time of BP neural network. The predicted results indicated that the hitting rate was 70.7% when the absolute error was less than 0.001, and the hitting rate was 90% when the absolute error was less than 0.005. Thus the validity of the model was proved.
|
|
Received: 01 January 1900
|
|
|
|
| [1] |
ZHU De-qing1,TIAN Hong-yu1,PAN Jian1,LIAO Hui2,GUO Zheng-qi1,XUE Yu-xiao1. Comprehensive utilization status and progress of low-grade laterite nickel ore[J]. JOURNAL OF IRON AND STEEL RESEARCH , 2020, 32(5): 351-362. |
| [2] |
WANG Kun1,LIU Xiao-jie1,LIU Er-hao2,LI Hong-yang1,LIU Song1,LV Qing1. Core temperature prediction model based on AdaBoost algorithm[J]. JOURNAL OF IRON AND STEEL RESEARCH , 2020, 32(5): 363-369. |
| [3] |
JI Xiu-mei1,2,WANG Long1,GAO Ke-wei2,LIU Jie1. Application of ELM to predict plate rolling force[J]. JOURNAL OF IRON AND STEEL RESEARCH , 2020, 32(5): 393-399. |
| [4] |
RONG Tao, TANG Hui-qing, FAN Kai, SUN Yan-jun. Applying high-carbon metallic briquette in blast furnace for coke saving[J]. Iron and Steel, 2020, 55(5): 10-19. |
| [5] |
QIN Da-wei, LIU Hong-min, ZHANG Dong, WANG Jun-sheng. Prediction models of coating mass per unit area for hot-dip galvanized strip based on artificial neural network[J]. Iron and Steel, 2020, 55(5): 68-72. |
| [6] |
ZHANG Jian-liang, SUN Min-min, LI Ke-jiang, LI Hong-tao. Present situation and prospect of dissolution behavior of metallurgical coke in blast furnace hot metal[J]. Iron and Steel, 2020, 55(4): 1-11. |
|
|
|
|
2006, Vol. 41 
