Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor

An artificial neural network (ANN) was implemented for modeling phenol mineralization in aqueous solution using the photo-Fenton process. The experiments were conducted in a photochemical multi-lamp reactor equipped with twelve fluorescent black light lamps (40 W each) irradiating UV light. A three-...

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Veröffentlicht in:	Water science and technology 2014-01, Vol.69 (4), p.768-774
Hauptverfasser:	MOTA, André L. N, CHIAVONE, Osvaldo, DA SILVA, Syllos S, FOLETTO, Edson L, MORAES, José E. F, NASCIMENTO, Cláudio A. O
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial neural networks Bioreactors Computer simulation Dissolved organic carbon Exact sciences and technology Ferrous ions Fluorescence Hydrogen peroxide Light Mineralization Modelling Models, Theoretical Neural networks Neural Networks (Computer) Phenol - chemistry Phenols Photocatalysis Photochemicals Pollution Reaction time Reactors Ultraviolet radiation Water treatment and pollution
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