摘要
提出了一种应用人工神经网络识别热轧带钢精轧机组负荷分配的新方法，该方法适于“在线”计算，有很强的学习功能、计算结果精度高等优点，克服了传统负荷分配方法的缺点。文中以实际生产数据为实例进行了计算，证明其效果良好。
The paper advanced a new way to identify the scheduling finishing train of hot strip mills bv means of artificial neural networks. The way has the advantages:suiting to “on-line”calculation, the strong learning function, the precise results,and so on. It has overcome the shortcoming of the traditional methods. The calculating results using the practice data in hot finishing rolling mills are good.
出处
《钢铁》
CAS
CSCD
北大核心
1995年第11期26-29,25,共5页
Iron and Steel
关键词
负荷分配
神经网络
精轧机
scheduling,artificial neural networks, hot strip mills
