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-...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 69(2014), 4 vom: 15., Seite 768-74
|
| 1. Verfasser: |
Mota, André L N
(VerfasserIn) |
| Weitere Verfasser: |
Chiavone-Filho, Osvaldo,
da Silva, Syllos S,
Foletto, Edson L,
Moraes, José E F,
Nascimento, Cláudio A O |
| Format: | Online-Aufsatz
|
| Sprache: | English |
| Veröffentlicht: |
2014
|
| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research
|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Phenol
339NCG44TV |