Artificial neural network (ANN) and response surface methodology (RSM) algorithm-based improvement, kinetics and isotherm studies of electrocoagulation of oily wastewater
Author:
Affiliation:
1. Department of Chemical Engineering, Birla Institute of Technology and Science Pilani, Dubai, United Arab Emirates
2. Department of Forestry and Wood Technology, Linnaeus University, Växjö, Sweden
Publisher
Informa UK Limited
Subject
General Medicine,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10934529.2022.2090192
Reference25 articles.
1. Simultaneous removal of nitrate and nitrite using electrocoagulation/floatation (ECF): A new multi-response optimization approach
2. RSM and ANN modeling for electrocoagulation of copper from simulated wastewater: Multi objective optimization using genetic algorithm approach
3. Process modeling and evaluation of petroleum refinery wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor using poly ethyleneimine (PEI)/titania (TiO2) multilayer film on quartz tube
4. Optimizing electrocoagulation process for the treatment of biodiesel wastewater using response surface methodology
5. Optimization of oil removal from oily wastewater by electrocoagulation using response surface method
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