Browsing Civil & Architectural Engineering by Subject "Artificial neural network"
Now showing items 1-4 of 4
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Bioinspired modeling and biogeography-based optimization of electrocoagulation parameters for enhanced heavy metal removal
( Elsevier , 2022 , Article)Electrocoagulation is an effective wastewater treatment process for the removal of heavy metals. This study focuses on deriving optimal conditions for removing heavy metals, viz. Lead (Pb), Cobalt (Co), and Manganese (Mn) ... -
Locating leaks in water mains using noise loggers
( American Society of Civil Engineers (ASCE) , 2016 , Article)Because of their potential danger to public health, economic loss, environmental damage, and energy waste, underground water pipelines leaks have received more attention globally. Researchers have proposed active leakage ... -
Modeling and sensitivity analysis of the forward osmosis process to predict membrane flux using a novel combination of neural network and response surface methodology techniques
( MDPI AG , 2021 , Article)The forward osmosis (FO) process is an emerging technology that has been considered as an alternative to desalination due to its low energy consumption and less severe reversible fouling. Artificial neural networks (ANNs) ... -
Modeling of forward osmosis process using artificial neural networks (ANN) to predict the permeate flux
( Elsevier , 2020 , Article)Artificial neural networks (ANN) are black box models that are becoming more popular than transport-based models due to their high accuracy and less computational time in predictions. The literature shows a lack of ANN ...