Prediction of true critical temperature and pressure of binary hydrocarbon mixtures: A Comparison between the artificial neural networks and the support vector machine

Prediction of true critical temperature and pressure of binary hydrocarbon mixtures: A Comparison between the artificial neural networks and the support vector machine

Two main objectives have been considered in this paper: providing a good model to predict the critical temperature and pressure of binary hydrocarbon mixtures, and comparing the efficiency of the artificial neural network algorithms and the support vector regression as two commonly used soft computi...

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Bibliographic Details
Main Authors: M. Etebarian, k. movagharnejad
Format: Article
Language:English
Published: Iranian Association of Chemical Engineering (IAChE) 2019-06-01
Series:Iranian Journal of Chemical Engineering
Subjects:
critical pressure
critical temperature
artificial neural network
support vector machine
binary hydrocarbon mixture
particle swarm optimization
Online Access:https://www.ijche.com/article_90024_ac9ae0799df66218e20ff3997d7a24a6.pdf
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https://www.ijche.com/article_90024_ac9ae0799df66218e20ff3997d7a24a6.pdf

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