Modelling Treatment by Adsorption from Waste Water Using Artificial Neural Network and Multiple Linear Regressions (MLR) Approaches
- DOI
- 10.9734/bpi/cmsdi/v5/1932
- Published
- 2024-08-23
- Container
- Chemical and Materials Sciences: Developments and Innovations Vol. 5
- Publisher
- BP International
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.9734/bpi/cmsdi/v5/1932,
title = {Modelling Treatment by Adsorption from Waste Water Using Artificial Neural Network and Multiple Linear Regressions (MLR) Approaches},
author = {Meriem. Sediri and Salah. Hanini and Maamar. Laidi and Siham. Abbas Turki and Hakima. Cherifi and Hamadache. Mabrouk},
year = {2024},
journal = {Chemical and Materials Sciences: Developments and Innovations Vol. 5},
doi = {10.9734/bpi/cmsdi/v5/1932},
url = {https://doi.org/10.9734/bpi/cmsdi/v5/1932}
}RIS
TY - JOUR TI - Modelling Treatment by Adsorption from Waste Water Using Artificial Neural Network and Multiple Linear Regressions (MLR) Approaches AU - Meriem. Sediri AU - Salah. Hanini AU - Maamar. Laidi AU - Siham. Abbas Turki AU - Hakima. Cherifi AU - Hamadache. Mabrouk PY - 2024 JO - Chemical and Materials Sciences: Developments and Innovations Vol. 5 DO - 10.9734/bpi/cmsdi/v5/1932 UR - https://doi.org/10.9734/bpi/cmsdi/v5/1932 ER -
APA
Sediri, M., Hanini, S., Laidi, M., Turki, S. A., Cherifi, H., & Mabrouk, H. (2024). Modelling Treatment by Adsorption from Waste Water Using Artificial Neural Network and Multiple Linear Regressions (MLR) Approaches. Chemical and Materials Sciences: Developments and Innovations Vol. 5. https://doi.org/10.9734/bpi/cmsdi/v5/1932
Source records
- crossref · retrieved 2026-11-10T21:39:22.330Z