摘要
利用神经网络方法开发了ＬＦ—ＶＤ—ＣＣ钢液温度预报模型。生产现场实时预报检验结果表明，预报值与实测值的误差在０～７ ℃之间的炉次为８５ ％ ，最大误差不超过１０ ℃。程序中的数据更新功能，可使预报精度不受渐变因数的影响。
The prediction model of molten steel temperature for LF VD CC route has been developed by means of meural network method The difference between the predicted and measured temperature was in range of 0 7 ℃ for 85 % heats,and less than 10 ℃ for all heats Because of data replacement function in the model,the prediction precision can be guaranteed regardless of the influence of gradual change factors
出处
《钢铁》
CAS
CSCD
北大核心
2000年第1期13-16,共4页
Iron and Steel
关键词
钢液温度
神经网络
预报模型
炼钢
molten steel temperature,neural network,prediction model
