A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption

Salari, Mehdi and Alahabadi, Ahmad and Rahmani-Sani, Abolfazl and Miri, Mohammad and Yazdani-Aval, Mohsen and Lotfi, Hadi and Saghi, Mohammad Hossien and Rastegar, Ayoob and Noori Sepehr, Mohammad and Darvishmotevalli, Mohammad (2023) A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption. National Library of Medicine.

Full text not available from this repository.
Item Type: Article
Subjects: R Medicine > R Medicine (General)
Depositing User: Saeed Shoja
Date Deposited: 26 Feb 2024 06:22
Last Modified: 26 Feb 2024 06:22
URI: http://eprints.medsab.ac.ir/id/eprint/2549

Actions (login required)

View Item View Item
Medsab is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.