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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Publié dans:	Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 69(2014), 4 vom: 15., Seite 768-74
Auteur principal:	Mota, André L N (Auteur)
Autres auteurs:	Chiavone-Filho, Osvaldo, da Silva, Syllos S, Foletto, Edson L, Moraes, José E F, Nascimento, Cláudio A O
Format:	Article en ligne
Langue:	English
Publié:	2014
Accès à la collection:	Water science and technology : a journal of the International Association on Water Pollution Research
Sujets:	Journal Article Research Support, Non-U.S. Gov't Phenol 339NCG44TV