Optimization and prediction of safranin-O cationic dye removal from aqueous solution by emulsion liquid membrane (ELM) using artificial neural network-particle swarm optimization (ANN-PSO) hybrid model and response surface methodology (RSM)-Reference-Cited by-同舟云学术

Optimization and prediction of safranin-O cationic dye removal from aqueous solution by emulsion liquid membrane (ELM) using artificial neural network-particle swarm optimization (ANN-PSO) hybrid model and response surface methodology (RSM)

Published:2021-10 Issue:5 Volume:9 Page:105837
ISSN:2213-3437
Container-title:Journal of Environmental Chemical Engineering
language:en
Short-container-title:Journal of Environmental Chemical Engineering

Author:

Fetimi Abdelhalim,Dâas Attef,Benguerba Yacine^ORCID,Merouani Slimane,Hamachi Mourad,Kebiche-Senhadji Ounissa,Hamdaoui Oualid

Publisher

Elsevier BV

Subject

Process Chemistry and Technology,Pollution,Waste Management and Disposal,Chemical Engineering (miscellaneous)

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