摘要
建立了发铸铁的工艺参数与铁液成分关系的前馈型多层神经网络模型，预测灰铸铁的铁液成分，并分析工艺参数与灰铸铁铁液成分的关系。
A feed forward multilayer neural network model for the relationship between melting process ing variables and the composition of molten iron was established. It could be used to predict the composition of molten gray iron. The relationship between process variables and the compositions of molten gray iron was analyzed.
出处
《现代铸铁》
CAS
1998年第4期39-41,共3页
Modern Cast Iron
基金
江苏省科协资助
