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

作　　者：刘振宇[1] 王昭东[1] 王国栋[1] 张强[1] 

机构地区：[1]东北大学

出　　处：《钢铁研究学报》1995年第4期61-66,共6页Journal of Iron and Steel Research

摘　　要：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.

关 键 词：热轧 神经网络 碳锰钢 力学性能 

分 类 号：TG335.11[金属学及工艺—金属压力加工]