摘要
提出了BP神经网络预测高炉铁水硅含量的几种网络优化方法,指出了神经网络预测硅含量的可行性与局限性。
In this paper,several optimizing methods about neual network model for predicting the silicon content of the hot metal are introduced and the feasibility and limitations are pointed out.
出处
《河北理工学院学报》
2005年第4期15-17,共3页
Journal of Hebei Institute of Technology
关键词
铁水硅含量
神经网络
优化
silicon content of hot metal
neural network
optimizing
analyzing
