The issue of membrane fouling poses a significant challenge to the extensive adoption of
nanofiltration membrane technology in public water supply systems. The occurrence of …

Gradient-based algorithms are commonly used for training radial basis function neural
network (RBFNN). However, one of the challenges in the training process is determining …

Membrane fouling can cause severe flux drops and affect the quality of produced water,
which is a major obstacle for membrane applications. Great efforts have been made to …

Performance modeling of wastewater treatment systems has now become an attractive area
of investigation for the design, analysis, and optimization of operations. Membrane …

This study compares eight surrogate-model construction approaches using computational
experiments. The construction approaches considered include: Artificial Neural Networks …

Membrane fouling as a major concern in development and optimization of membrane
bioreactor (MBR) technologies has been the focus of numerous engineering and research …

Artificial neural networks (ANNs) as a powerful technique for solving complicated problems
in membrane separation processes have been employed in a wide range of chemical …

In view of the difficulty in obtaining the membrane bioreactor (MBR) membrane flux in real
time, considering the disadvantage of the back propagation (BP) network in predicting MBR …

In this paper, the Fenton process was found to be an effective technique to treat leachates
when the drawbacks of this process were minimized by choosing proper catalyst …

Despite the rapid increase of ultrafiltration (UF) membranes in water treatment, the UF
performance in large-scale drinking water treatment plants (DWTPs) in long-term operation …