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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Iranian Association of Chemical Engineering (IAChE)
2019-06-01
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| Series: | Iranian Journal of Chemical Engineering |
| Subjects: | |
| Online Access: | https://www.ijche.com/article_90024_ac9ae0799df66218e20ff3997d7a24a6.pdf |
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