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Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples

✍ Scribed by Khajeh, Mostafa ;Kaykhaii, Massoud ;Sharafi, Arezoo


Book ID
120259368
Publisher
Elsevier
Year
2013
Tongue
English
Weight
421 KB
Volume
19
Category
Article
ISSN
1226-086X

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BACKGROUND: TiO 2 heterogeneous photocatalysis should be optimized before application for the removal of pollutants in treated wastewaters. The response surface methodology (RSM) and artificial neural networks (ANNs) were applied to model and optimize the photocatalytic degradation of total phenolic