Abstract:Central segregation and internal crack decrease the properties of slab and rolling plate badly. In this paper, on the basis of production records for some steel corporation, an improved BP algorithm with the additional momentum term is put forward, which is used to develop a BP neural network model to predict the central segregation of continuous casting slab. The results showed that, prediction accuracy of central segregation model is 90%, which meet the demand of prediction of central segregation well. The main reasons for prediction errors include excess hidden layer numbers in the neural network structure, excess sample numbers of central segregation defect at 1.0 level and noise samples being not eliminated absolutely.
王德永,姜茂发. 基于改进BP算法的连铸板坯中心偏析预报模型[J]. 中国冶金, 2008, 18(1): 37-37.
WANG Deyong,JIANG Maofa. Central Segregation Prediction Model of Continuous Casting Slab Based on Developed BP Neural Network Algorithm. China Metallurgy, 2008, 18(1): 37-37.