Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: a comprehensive review and future perspective
The application of artificial neural networks (ANNs) in the treatment of wastewater has
achieved increasing attention, as it enhances the efficiency and sustainability of wastewater …
achieved increasing attention, as it enhances the efficiency and sustainability of wastewater …
A review on state-of-the-art applications of data-driven methods in desalination systems
The substitution of conventional mathematical models with fast and accurate modeling tools
can result in the further development of desalination technologies and tackling the need for …
can result in the further development of desalination technologies and tackling the need for …
Modified Whale Optimization Algorithm based ANN: a novel predictive model for RO desalination plant
In recent decades, nature-inspired optimization methods have played a critical role in
helping industrial plant designers to find superior solutions for process parameters …
helping industrial plant designers to find superior solutions for process parameters …
PID control design using AGPSO technique and its application in TITO reverse osmosis desalination plant
Desalination plants have an important concern regarding controlling the permeate flow rate
and pH during operability. This paper proposes the proportional integral derivative (PID) …
and pH during operability. This paper proposes the proportional integral derivative (PID) …
Employing artificial neural network for accurate modeling, simulation and performance analysis of an RO-based desalination process
In this paper, we implement sustainable soft computing via application of Artificial Neural
Networks (ANN) to predict the desalination plant output more accurately. The proposed ANN …
Networks (ANN) to predict the desalination plant output more accurately. The proposed ANN …
A novel AGPSO3-based ANN prediction approach: application to the RO desalination plant
One of the critical issues faced by the desalination plants is an accurate analysis of their real-
time performance. Soft computing techniques are efficient in overcoming these issues and …
time performance. Soft computing techniques are efficient in overcoming these issues and …
Desalination plant performance prediction model using grey wolf optimizer based ANN approach
The present era of advances in desalination plants revolves around the involvement of
artificial intelligence techniques in ameliorating their modeling and operational performance …
artificial intelligence techniques in ameliorating their modeling and operational performance …
Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
Improvised grey wolf optimizer assisted artificial neural network (IGWO-ANN) predictive models to accurately predict the permeate flux of desalination plants
Effective planning, management, and control of industrial plants and processes have
exploded in popularity to enhance global sustainability in recent decades. In this arena …
exploded in popularity to enhance global sustainability in recent decades. In this arena …
An optimized PSO-ANN model for improved prediction of water treatment desalination plant performance
An accurate prediction of the performance of water treatment desalination plants could
directly improve the global socio-economic balance. In this regard, many researchers have …
directly improve the global socio-economic balance. In this regard, many researchers have …