摘要
根据固体与分子经验电子理论计算了 19组新型高强韧钢的试验数据所对应的结构形成因子 S值 ,从中随机抽取 16组数据 ,应用人工神经网络的 BP结构进行训练 ,用其余 3组数据进行检验 ,其平均训练误差为 0 .8731% ,平均检验误差为 0 .96 5 7%。建立了价电子结构与强度之间的定量关系 。
The structure formation factors S were calculated from 19 groups of experimental data of a new high strength toughness steels on the basis of the empirical electrionic theory of solids and molecules, and 16 groups of which selected randomly were applied to train with BP network of artificial neural networks and other three groups were used to examine. The average trained error is 0.873 1 %, and the average examined error is 0.965 7 %. The quantitative relationship between the valence electron structure and the tensile strength was built, and composition design of alloy was tried on the electron level.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
2001年第6期65-67,共3页
Journal of Iron and Steel Research
基金
国家"九五"科技攻关资助项目 ( 98-A2 8-0 1-0 2 )
关键词
高强韧钢
结构形成因子
人工神经网络
BP网络
抗拉强度
high strength toughness steel
structure formation factor
artificial neural network
BP network
tensile strength