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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Detalles Bibliográficos
Autores principales: Moosavi, Seyedehmaryam, Manta, Otilia, El-Badry, Yaser A., Hussein, Enas E., El-Bahy, Zeinhom M., Mohd Fawzi, Noor fariza Binti, Urbonavičius, Jaunius, Moosavi, Seyed Mohammad Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540925/
https://www.ncbi.nlm.nih.gov/pubmed/34685171
http://dx.doi.org/10.3390/nano11102734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540925/
https://www.ncbi.nlm.nih.gov/pubmed/34685171
http://dx.doi.org/10.3390/nano11102734

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