摘要
以实验数据为基础 ,建立了含硼微合金钢高温奥氏体晶粒尺寸及道次间软化程度与热加工工艺参数间的 BP网络 (人工神经网络 )模型。结果表明
This paper has developed two BP network models relating austenite grain size and softening fraction with hot working parameters in microalloyed steel on the basis of experimental data in gleeble-1500 system.The results show that the BP network models are ideal for their higher forecasting accuracy.
出处
《大型铸锻件》
2003年第1期10-12,共3页
Heavy Casting and Forging
