Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water
Saved in:
Main Authors: | Boutra, B, Sebti, A, Trari, M |
---|---|
Format: | Article |
Published: |
Springer
2022
|
Online Access: | http://scholars.utp.edu.my/id/eprint/34804/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater
by: Vijayan, Sharmila
Published: (2024) -
Optimization of artificial neural network topology for membrane bioreactor filtration using response surface methodology
by: Ibrahim, Syahira, et al.
Published: (2020) -
Photodegradation of 2-chlorophenol over ZnO/KCC-1: Reaction optimization by response surface methodology
by: Ros Shazuin Rayyanu, Mohd Zaki, et al.
Published: (2023) -
Modeling And Optimization Of Lipase-Catalyzed Synthesis Of Adipate Esters Using Response Surface Methodology And Artificial Neural Network
by: Langroodi, Naz Chaibakhsh
Published: (2010) -
Optimization on cleaner intensification of ozone production using Artificial Neural Network and Response Surface Methodology: Parametric and comparative study
by: Hafeez, A., et al.
Published: (2020)