Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks
Abstract
This study investigates the estimated adsorption efficiency of artificial Nickel (II) ions with perlite in an aqueous solution using artificial neural networks, based on 140 experimental data sets. Prediction using artificial neural networks is performed
URI
http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10331https://doi.org/10.1515/aep-2017-0034
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