Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters

Photocatalytic oxidation of treated muni

Photocatalytic oxidation of treated municipal wastewaters for the removal of phenolic compounds: optimization and modeling using response surface methodology (RSM) and artificial neural networks (ANNs)

✍ Maria Antonopoulou; Vassilios Papadopoulos; Ioannis Konstantinou 📂 Article 📅 2012 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 522 KB

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