| 1. | Based on experimental data , the bp model is built , which reflects the relationship between the mechanical properties , phase transformation points of material and its composition , micro - structure . hardenability curves , alloy composition , austenite temperature , martensite start temperature and yield strength are predicted by means of artificial neural network technology
本研究在实验数据的基础上，采用反向传播算法( bp算法)建立了反映合金成分-组织-性能之间的定量关系的网络模型，并利用所得到的模型，分别对淬透性曲线、合金成分、力学性能、相变点进行分析和预测。 |
