摘要
以现场正交试验数据为基础 ,采用人工神经网络方法预测高碳钢高速线材产品力学性能 ,将预报结果与试验结果相比较可知 ,该模型具有较高的精度。
On the basis of the data obtained from the orthogonal experiments the mechanical properties of the high carbon high speed wire rod products are predicted by means of the artificial neural network.Comparing the predicted results with the experiments its is proved the artificial neural network is of higher accuracy in the prediction.
出处
《钢铁研究》
CAS
2000年第5期29-31,共3页
Research on Iron and Steel
关键词
人工神经网络
高碳钢
力学性能
预测
高速线材
artificial neural network controlled cooling high carbon steel high speed wire rod
