PREDICTIONS OF PROPERTIES OF TERNARY MIXTURE VIA ARTIFICIAL NEURAL NETWORK MODELS

Cao Yilin; Lu Qingzhang; Yang Shuting(Department of Chemistry

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PREDICTIONS OF PROPERTIES OF TERNARY MIXTURE VIA ARTIFICIAL NEURAL NETWORK MODELS

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- PREDICTIONS OF PROPERTIES OF TERNARY MIXTURE VIA ARTIFICIAL NEURAL NETWORK MODELS
- CIESC Journal Issue 3, (1996)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：
  CLC： 642
- Online First：25 June 1996，
  
  Published：25 June 1996
- 稿件说明：
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Cao Yilin, Lu Qingzhang, Yang Shuting(Department of Chemistry. PREDICTIONS OF PROPERTIES OF TERNARY MIXTURE VIA ARTIFICIAL NEURAL NETWORK MODELS[J]. CIESC Journal, 1996, (3).
DOI：

Cao Yilin, Lu Qingzhang, Yang Shuting(Department of Chemistry. PREDICTIONS OF PROPERTIES OF TERNARY MIXTURE VIA ARTIFICIAL NEURAL NETWORK MODELS[J]. CIESC Journal, 1996, (3). DOI：

摘要

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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