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PREDICTIONS OF PROPERTIES OF TERNARY MIXTURE VIA ARTIFICIAL NEURAL NETWORK MODELS

Cao Yilin;Lu Qingzhang;Yang Shuting(Department of Chemistry, Henan Normal University,Xinxiang 453002)   

  • Online:1996-06-25 Published:1996-06-25

基于人工神经网络模型的三元混合物溶液物性预测

曹益林,吕庆章,杨书廷   

  1. 河南师范大学化学系!新乡453002,河南师范大学化学系!新乡453002,河南师范大学化学系!新乡453002

Abstract: 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.

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