A study on machine learning methods' application for dye adsorption prediction onto agricultural waste activated carbon
The adsorption of dyes using 39 adsorbents (16 kinds of agro-wastes) were modeled using random forest (RF), decision tree (DT), and gradient boosting (GB) models based on 350 sets of adsorption experimental data. In addition, the correlation between variables and their importance was applied. After...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Published: |
MDPI
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/33885/ |
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