应用神经网络预测热轧C－Mn钢力学性能

Predicting Mechanical Properties of Hot-Rolled Steels by Using Neural Networks

以实验室热轧Ｃ－Ｍｎ钢组织一性能实验数据为基础，采用人工神经网络方法建立了热轧Ｃ－Ｍｎ钢组织一性能对应关系预测模型。模型的学习精度较高且有较高的推广价值。

On the basis of the pilot hot rolling data of microstructure and me-chanical properties for C-Mn steels,the predicting models for the relationship be-tween microstructure and mechanical properties were developed by using Artificial Neural Network(AN￣2)method,which show good learning precision and generaliza-tion.