Artificial neural network modeling of wastewater treatment and desalination using membrane processes: A review

J Jawad, AH Hawari, SJ Zaidi - Chemical Engineering Journal, 2021 - Elsevier
The freshwater scarcity is causing a major challenge due to the growing global population.
The brackish water and seawater are the biggest sources of water on the planet. Therefore …

Enhancement of membrane system performance using artificial intelligence technologies for sustainable water and wastewater treatment: A critical review

ND Viet, D Jang, Y Yoon, A Jang - Critical Reviews in …, 2022 - Taylor & Francis
In recent years, membrane technologies are widely utilized in water and wastewater
treatment processes. However, controlling and improving these systems still need to be …

Artificial intelligence-based optimization of industrial membrane processes

MT Gaudio, G Coppola, L Zangari, S Curcio… - Earth systems and …, 2021 - Springer
Artificial intelligence (AI) is gaining acceptance for modern control systems in various
applications in daily life including the Chemical process industry. Above all, application of AI …

Artificial intelligence as a sustainable tool in wastewater treatment using membrane bioreactors

M Kamali, L Appels, X Yu, TM Aminabhavi… - Chemical Engineering …, 2021 - Elsevier
Efforts are currently in progress to commercialize membrane bioreactor (MBR) technologies
already developed at laboratory and pilot scale. To attain this goal, the efficiency of MBRs …

Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance

FS Mjalli, S Al-Asheh, HE Alfadala - Journal of environmental management, 2007 - Elsevier
A reliable model for any wastewater treatment plant is essential in order to provide a tool for
predicting its performance and to form a basis for controlling the operation of the process …

Artificial neural network modelling of a large-scale wastewater treatment plant operation

D Güçlü, Ş Dursun - Bioprocess and biosystems engineering, 2010 - Springer
Abstract Artificial Neural Networks (ANNs), a method of artificial intelligence method, provide
effective predictive models for complex processes. Three independent ANN models trained …

[HTML][HTML] An artificial neural network mechanism for optimizing the water treatment process and desalination process

AI Taloba - Alexandria Engineering Journal, 2022 - Elsevier
An artificial neural network (ANN) was created to predict the operation of a reverse osmosis
desalination process, and then it was utilized to supply water temperature modeling. The …

Integrated wastewater treatment plant performance evaluation using artificial neural networks

MF Hamoda, IA Al-Ghusain, AH Hassan - Water Science and Technology, 1999 - Elsevier
Proper operation of municipal wastewater treatment plants is important in producing an
effluent which meets quality requirements of regulatory agencies and in minimizing …

Experimental investigation and artificial neural networks ANNs modeling of electrically-enhanced membrane bioreactor for wastewater treatment

A Giwa, S Daer, I Ahmed, PR Marpu… - Journal of water process …, 2016 - Elsevier
In this work, a new configuration of an electrically-enhanced membrane bioreactor has been
introduced to treat medium strength wastewater at Masdar City, Abu Dhabi, United Arab …

Modeling of an RO water desalination unit using neural networks

A Abbas, N Al-Bastaki - Chemical Engineering Journal, 2005 - Elsevier
In this paper, a feedforward neural network (NN) model is developed to predict the
performance of a reverse osmosis (RO) experimental setup, which uses a FilmTec SW30 …