摘要
利用人工神经网络中的BP算法,建立材料的合金成分与距水冷端不同位置上的硬度值的模型.根据材料的合金成分含量取得硬度值,获得了满意的结果,为预测淬透性曲线提供了一定的理论辅助手段.
The backpropagating algorithm in artificial neural networks is used to build a model for the relationship between the alloy elements and hardness from the Jominy specimen end surface features.According to the requirements for the content of alloy elements,the hardness is designed.A theoretical method for prediction Jominy curve is given.
出处
《天津理工学院学报》
2002年第4期70-73,共4页
Journal of Tianjin Institute of Technology
