Estimation of the properties of hydrofluorocarbons by computer neural networks

Estimation of the properties of hydrofluorocarbons by computer neural networks

A simple computational scheme which utilizes computational neural networks was developed and used estimating physical properties of hydrofluorocarbons. Testing of the computational method has demonstrated that thermodynamic and physical characteristics (boiling point, density, critical temperature,...

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Bibliographic Details
Published in:Journal of fluorine chemistry Vol. 73; no. 1; pp. 107 - 111
Main Authors: Gakh, Andrei A., Gakh, Elena G., Sumpter, Bobby G., Noid, Donald W., Trowbridge, Lee D., Harkins, David A.
Format: Journal Article
Language:English
Published: Elsevier B.V 01-07-1995
Subjects:
Computer neural networks
Hydrofluorocarbons
Computer neural networks
Hydrofluorocarbons
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Description
Summary:A simple computational scheme which utilizes computational neural networks was developed and used estimating physical properties of hydrofluorocarbons. Testing of the computational method has demonstrated that thermodynamic and physical characteristics (boiling point, density, critical temperature, heat of evaporation) could be predicted with an average error of 3–5%.
ISSN:0022-1139
1873-3328
DOI:10.1016/0022-1139(94)03215-L