Yield prediction of supercritical fluid extraction of Nigella sativa using neutral networks / Sarah Diana Isnin and Sitinoor Adeib Idris
A feed-forward multi-layer neural network with Levenberg-Marquardt training algorithm was developed to predict yield for supercritical carbon dioxide (SC-CO2) extraction of Nigella sativa essential oil. Yield of extraction depends on these variables: pressure, temperature, and extraction time hence...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Penerbit UiTM (UiTM Press)
2025
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/109347/1/109347.pdf https://doi.org/10.24191/srj.v22is.13932 https://ir.uitm.edu.my/id/eprint/109347/ |
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