基于人工神经网络的中厚板控冷温度预测  

Temperature Prediction of Medium Steel Plate Controlled Cooling Based on Artificial Neural Network

作　　者：靳哲[1] 王邦文[1] 崔乃忠[1] 

机构地区：[1]北京科技大学机械工程学院,北京100083

出　　处：《冶金设备》2004年第4期4-6,共3页Metallurgical Equipment

摘　　要：基于BP神经网络建立轧后控制冷却主要参数和目标参量之间的关系并对模型进行训练 ,实现轧后控制冷却终冷温度和冷却速度的预测。利用现场实测数据仿真表明 ,模型有效提高了预测精度。The relation of main parameters and target parameters in controlled cooling after rolled is established based on BP Neural Network. With the training on the model, the prediction of the ending cooling temperature and the cooling speed in controlled cooling after rolled is realized. Simulated with the real-world data, prediction accuracy has been improved with the model.

关 键 词：控制冷却 中厚板 BP神经网络 

分 类 号：TG335[金属学及工艺—金属压力加工] TP18[自动化与计算机技术—控制理论与控制工程]