Application of central composite design and artificial neural network in modeling of reactive blue 21 dye removal by photo-ozonation process
The present study deals with use of central composite design (CCD) and artificial neural network (ANN) in modeling and optimization of reactive blue 21 (RB21) removal from aqueous media under photo-ozonation process. Four effective operational parameters (including: initial concentration of RB21, O(...
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 74(2016), 1 vom: 07., Seite 184-93 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2016
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| 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 Metalloporphyrins Water Pollutants, Chemical reactive blue 21 377M303BWG Ozone 66H7ZZK23N |
| Online verfügbar |
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