摘要
Artificial neural network models were used to investigate the density,viscosity and excess molar volume of a ternary mixture.The results were satisfactory when compared with the experimental values.This method was easy in operation and rapid in prediction comparing with the traditional thermodynamical methods based on empirical or semiempirical equations.It can be used as a unified method for the property prediction of multicomponent mixture.
Artificial neural network models were used to investigate the density,viscosity and excess molar volume of a ternary mixture.The results were satisfactory when compared with the experimental values.This method was easy in operation and rapid in prediction comparing with the traditional thermodynamical methods based on empirical or semiempirical equations.It can be used as a unified method for the property prediction of multicomponent mixture.
出处
《化工学报》
EI
CAS
CSCD
北大核心
1996年第3期371-375,共5页
CIESC Journal
关键词
神经网络
混合物溶液
密度
粘度
过量体积
artificial neural network model,temary mixture,density,viscosity,excess molar volume
