Support Vector Machine-based Soft Sensors in the Isomerisation Process
This paper presents the development of soft sensor empirical models using support vector machine (SVM) for the continual assessment of 2,3-dimethylbutane and 2-methylpentane mole percentage as important product quality indicators in the refinery isomerisation process. During the model development,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Society of Chemical Engineers
2021-02-01
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| Series: | Chemical and Biochemical Engineering Quarterly |
| Subjects: | |
| Online Access: | http://silverstripe.fkit.hr/cabeq/assets/Uploads/04-4-2020.pdf |