26Cr2Ni4MoV钢高温热变形的BP神经网络预测

BP NEURAL NETWORK PREDICTION ON DEFORMATION OF 26Cr2Ni4MoV STEEL IN HIGH TEMPERATURE

本文采用神经网络的 BP算法对 2 6Cr2 Ni4Mo V钢在单轴应力作用下的热变形过程进行了预测 ,并与传统的回归计算方法进行了对比。结果表明 ,神经网络方法有较高的预测精度。

The deformation of the 26Cr2Ni4MoV steel under uni\|axis stress in high temperature is predicted by BP algorithm of neural network.The results are contrasted with those of the regression,which indicate that there is higher prediction precision with the neural network.