摘要
利用BP神经网络方法预测SPCC冷轧带钢产品力学性能并以现场正交试验数据为基础,对比预报结果和试验结果可以知道,该模型具有较高的精度,适用于现场生产。
Mechanical properties of SPCC cold rolled strip steel are predicted by BP neural network method. Comparison between the predicted mechanical properties and the tested mechanical properties have been made on the basis of the data from orthogonal experiments. The result shows that the BP neural network model has relatively higher accuracy and is applicable in actual production,
出处
《宽厚板》
2006年第4期38-40,共3页
Wide and Heavy Plate
关键词
BP神经网络
冷轧带钢
预测模型
BP neural network, Cold rolled strip, Prediction model
