A complementary approach of response surface methodology and an artificial neural network for the optimization and prediction of low salinity reverse osmosis performance

The treatment of saline water sources by reverse osmosis (RO) is being utilized increasingly to address water shortages around the world. The application of RO is energy-intensive; therefore, plant and process optimization are crucial. The desalination of low salinity water sources with total dissol...

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Detalles Bibliográficos
Autores principales: Brooke, Ryan, Fan, Linhua, Khayet, Mohamed, Wang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519509/
https://www.ncbi.nlm.nih.gov/pubmed/36185130
http://dx.doi.org/10.1016/j.heliyon.2022.e10692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519509/
https://www.ncbi.nlm.nih.gov/pubmed/36185130
http://dx.doi.org/10.1016/j.heliyon.2022.e10692

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