摘要
提出了一种与传统数学模型相结合的神经网络建模方法，用于预测热轧带钢的卷取温度。文中以实际生产数据为实例进行了计算，证明效果良好，有在线实际应用的前景。
A new way was advanced by a new neural network combined with traditional mathematical model to predict the coiling temperature of hot rolled strip. The calculated results using the practice data are good. The model has promising application on line in the future.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
1998年第3期57-60,共4页
Journal of Iron and Steel Research
关键词
神经网络
BP算法
数学模型
热轧带钢
卷取温度
neural network,BP algorithm,mathematical model,hot rolled strip,coiling temperature
