Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks

dc.contributor.author	Turp, Sinan Mehmet
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2017
dc.identifier.issn	2083-4772
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10331
dc.identifier.uri	https://doi.org/10.1515/aep-2017-0034
dc.description.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
dc.language.iso	English
dc.publisher	Polska Akad Nauk, Polısh Acad Scıences, Inst Envıron Eng Pas
dc.rights	gold
dc.source	Archıves Of Envıronmental Protectıon
dc.title	Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks
dc.type	Article
dc.identifier.issue	4
dc.identifier.startpage	26
dc.identifier.endpage	32
dc.identifier.doi	10.1515/aep-2017-0034
dc.identifier.wos	WOS:000418438200003
dc.identifier.volume	43

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