|
|
|
| Neural Network Prediction Model for End Point Phosphorus Content Based on Grey Theory in Hot Metal Pretreatment |
| ZHANG Hui-ning1，XU An-jun1，CUI Jian2，HE Dong-feng1，TIAN Nai-yuan1 |
1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
2.Ningbo Iron and Steel Co., Ltd., Ningbo 315000, Zhejiang, China |
|
|
|
|
Abstract On the basis of optimizing the traditional BP neural network model, a neural network prediction model combined with grey theory was developed by laying correlative degree weights to all input factors which had effects on the output variable. And then simulation experiments of model newly established were conducted based on data from a domestic steel plant. The results show that hit rate arrives at 65.00% when the error modulus is less than 500%, and the value is 96.67% when less than 10.00%. Comparing to the traditional neural network prediction model, the accuracy almost increases by 12.50%, Thus, the prediction of end point phosphorus content fits the real perfectly, which accounts for that neural network model for terminative phosphorus content based on grey theory can reflect accurately the practice in hot metal pretreatment.
|
|
Received: 23 May 2011
Published: 20 March 2012
|
|
|
|
| [1] |
CHAI Xiao-jun，LI Hong-bo，ZHANG Jie，ZHOU Yi-zhong， MA Heng-hao，ZHANG Peng-wu. Transverse distribution law of rolling force and its prediction model in hot rolling[J]. Iron and Steel, 2017, 52(6): 52-60. |
| [2] |
QIE Ya- na,LIU Dong- hui,L Qing,LIU Xiao- jie,SUN Yan- qin. Basic characteristics of mixed ores with high proportion of limonite[J]. Chinese Journal of Iron and Steel, 2015, 27(9): 14-20. |
| [3] |
WEI Li-xin，，GAO Jiang-man，，MA Cheng，CHE Hai-jun，，YANG Jing-ming，. Attenuation model for working roll’s surface roughness in cold rolling temper mill[J]. Iron and Steel, 2015, 50(6): 51-56. |
| [4] |
CHEN Xilai,LI Yawei,SANG Shaobai,LI Yuanbing,ZHAO Lei,LI Shujing. Effect of Andalusite on the Pore Size Distribution and Thermal Conductivity of Carbon Block for Blast Furnace[J]. Chinese Journal of Iron and Steel, 2011, 23(04): 46-51. |
| [5] |
. Application of pass Correction based on gray relational grade in plate production process[J]. Chinese Journal of Iron and Steel, 2009, 21(11): 20-20. |
| [6] |
LIU Kun;LIU Liu;HE Ping. End Point Phosphorus and Manganese Content Control Model Based on Sublance Technique and Optimization of Dephosphorization Process[J]. Iron and Steel, 2008, 43(7): 32-0. |
|
|
|
|
2012, Vol. 47 
