RSM and ANN modeling for electro-oxidation of simulated wastewater using CSTER

In this study, response surface methodology (RSM) and artificial neural network (ANN) were employed to develop prediction models for Acid Red 88 dye removal from synthetic wastewater using electro-oxidation. Experiments were carried out in a continuous stirred tank electrochemical reactor (CSTER) in...

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Veröffentlicht in:	Desalination and water treatment 2015-07, Vol.55 (6), p.1445-1452
Hauptverfasser:	Saravanathamizhan, R., Harsha Vardhan, Kilaru, Gnana Prakash, D., Balasubramanian, N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acid Red 88 Artificial neural network Chemical oxygen demand Color removal Electro-oxidation Electrochemistry Flow rates Neural networks Oxidation Prediction models Response surface methodology Ruthenium Water treatment
Online-Zugang:	Volltext
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