## Abstract The simulation of karstic aquifers is difficult using traditional groundwater numerical simulators, as the exact knowledge of the hydraulic characteristics of the physical system in small scale is rarely available and the numerical simulators produce results of limited reliability. In t
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Response surface optimization of an artificial neural network for predicting the size of re-assembled casein micelles
โ Scribed by Ashkan Madadlou; Zahra Emam-Djomeh; Mohamad Ebrahimzadeh Mousavi; Mohamadreza Ehsani; Majid Javanmard; David Sheehan
- Book ID
- 113551396
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 740 KB
- Volume
- 68
- Category
- Article
- ISSN
- 0168-1699
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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