摘要
以双道次压缩实验数据为基础,建立了某微合金钢道次间软化程度与热加工参数间的回归统计及BP网络模型。实验结果表明,BP网络模型具有较高的预报精度。
A regression model and a BP network model which relate the softening fraction with hot working parameters in microalloyed steel are developed on the basis of doublehit experimental data. The results show that the BP network model is ideal for its forecasting accuracy.
出处
《武汉科技大学学报》
CAS
2003年第1期1-2,23,共3页
Journal of Wuhan University of Science and Technology
关键词
软化率
BP网络
微合金钢
softening fraction
BP model
microalloyed steel
