人工神经网络系统在大型煤液化反应器用18MnNiMo钢中的应用  

Artificial Neural Networks Used in 18MnNiMo Steel for Coal Liquefied Heavy Reactor Vessel

作　　者：冯海波[1] 刘建红[1] 王玉红[1] 李家驹[1] 

机构地区：[1]天津重型装备工程研究有限公司,天津300457

出　　处：《大型铸锻件》2012年第1期13-15,共3页Heavy Casting and Forging

摘　　要：在生产试验数据的基础上,采用人工神经网络BP算法建立大型铸锻件用18MnNiMo钢的网络预测模型。预测结果表明人工神经网络系统模型能准确有效的预测18MnNiMo钢化学成分与力学性能之间的关系,其各项预测误差均控制在9%以内。A network prediction model for 18MnNiMo steel for large casting and forging is built upon the production experimental data which based on a back propagation network algorithm.Final results show that this prediction model can accurately predict the relationship between chemical composition and mechanical properties of 18MnNiMo steel,and the error is controlled within 9%.

关 键 词：人工神经网络 18MnNiMo钢 力学性能 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]