Development and Application of Prediction Model for End-point Manganese Content in Converter Based on Data from Sub-lance

摘要：

　　Base on smelting data from converter sub-lance in a factory,the prediction models for end manganese content in converter were established by Multiple Linear Regression (MLR) and BP Neural Network (BP-NN) respectively.Prediction results showed that,MLR model was easy to set up,but could not accurately describe steelmaking process and its results were unsatisfactory,while BPNN model got more accurate prediction results for end manganese content in converter based on proper selection of model structure,adequate training using sample data and then correct determination of the weights.According to the spot tests,prediction relative error hit rate of 90.38% within ± 10% or 96.15% within ± 15%.

关键词： End-point of Converter Sub-lance Prediction of Manganese Content Multiple Linear Regression BP Neural Network

作者: Zhang Bo Xue Zheng-liang Liu Ke Xiao Wen-bin

作者单位: Hubei Wuhan Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Education Hubei Wuhan Wuhan Iron and Steel Group Corp 430083, China

会议类型: 国际会议

会议名称: 2nd International Conference on Advanced Materials and Engineering Materials(第二届先进材料与工程材料国际会议)(ICAMEM2012)

会议地点: 北京

会议语种:英文

页码: 497-503

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）