scholarly journals Optimization and modeling of simultaneous ultrasound-assisted adsorption of ternary dyes using copper oxide nanoparticles immobilized on activated carbon using response surface methodology and artificial neural network

2019 ◽  
Vol 51 ◽  
pp. 264-280 ◽  
Author(s):  
Abdol Mohammad Ghaedi ◽  
Shahnaz Karamipour ◽  
Azam Vafaei ◽  
Mohammad Mehdi Baneshi ◽  
Vahid Kiarostami
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Activated Carbon ◽  
Copper Oxide ◽  
Response Surface ◽  
Copper Oxide Nanoparticles ◽  
Oxide Nanoparticles ◽  
Ultrasound Assisted ◽  
Artificial Neural

Optimization of the process parameters for the adsorption of ternary dyes by Ni doped FeO(OH)-NWs–AC using response surface methodology and an artificial neural network

RSC Advances ◽  
2016 ◽  
Vol 6 (24) ◽  
pp. 19768-19779 ◽  
Author(s):  
Farshid Nasiri Azad ◽  
Mehrorang Ghaedi ◽  
Arash Asfaram ◽  
Arsalan Jamshidi ◽  
Ghasem Hassani ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Process Parameters ◽  
Rhodamine B ◽  
Simultaneous Removal ◽  
Ferric Oxyhydroxide ◽  
Artificial Neural

The present study deals with the simultaneous removal of chrysoidine G (CG), rhodamine B (RB) and disulfine blue (DB) by Ni doped ferric oxyhydroxide FeO(OH) nanowires on activated carbon (Ni doped FeO(OH)-NWs–AC).

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