Application of a hybrid artificial neural network-genetic algorithm approach to optimize the lead ions removal from aqueous solutions using intercalated tartrate-Mg-Al layered double hydroxides

Application of a hybrid artificial neural network-genetic algorithm approach to optimize the lead ions removal from aqueous solutions using intercalated tartrate-Mg-Al layered double hydroxides

The aim of this work was to develop an eco-friendly adsorbent to remove the lead ions from aqueous solutions. The present study uses the artificial neural network (ANN) and genetic algorithm (GA) as tools for simulation and optimization of the lead ions removal from aqueous solutions using intercala...

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Bibliographic Details
Main Authors:	Ahmad, F.B.H (Author), Ghaffari-Moghaddam, M. (Author), Khajeh, M. (Author), Yasin, Y. (Author)
Format:	Article
Language:	English
Published:	Elsevier 2014
Subjects:	Artificial neural network Genetic algorithm Layered double hydroxides Lead ions removal Levenberg-Marquardt algorithm
Online Access:	View Fulltext in Publisher View in Scopus

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