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Fast artificial neural network (FANN) modeling of Cd(II) ions removal by valonia resin

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dc.contributor.authors Yurtsever, U; Yurtsever, M; Sengil, IA; Yilmazcoban, NK;
dc.date.accessioned 2020-02-26T08:56:55Z
dc.date.available 2020-02-26T08:56:55Z
dc.date.issued 2015
dc.identifier.citation Yurtsever, U; Yurtsever, M; Sengil, IA; Yilmazcoban, NK; (2015). Fast artificial neural network (FANN) modeling of Cd(II) ions removal by valonia resin. DESALINATION AND WATER TREATMENT, 56, 96-83
dc.identifier.issn 1944-3994
dc.identifier.uri https://doi.org/10.1080/19443994.2014.937756
dc.identifier.uri https://hdl.handle.net/20.500.12619/50178
dc.description.abstract In the existing research, firstly, Cd adsorption properties and kinetics were studied on valonia tannin resin (VTR) from aqueous solutions at optimized process parameters such as temperature, pH of solution, initial ion concentration, and contact time. Then, a four-layer fast artificial neural network was constructed and tested to model the equilibrium data of Cd metal ions onto VTR. The properties of the VTR and the experimental conditions were used as inputs to predict the corresponding cadmium uptake at equilibrium conditions. The constructed ANN was also found to be precise in modeling the cadmium adsorption isotherms and kinetics for all inputs during the training process. ANN models were setup with varying numbers of hidden layers and different neuron numbers at each hidden layer as input parameters, mean squared error values were calculated for the train, test, and overtraining caution system status and the proper model according to these values was determined. The obtained simulation results showed that the applied technique of ANN has better adjusted the equilibrium data of the Cd adsorption when compared with the conventional isotherm models.
dc.language English
dc.publisher DESALINATION PUBL
dc.subject Water Resources
dc.title Fast artificial neural network (FANN) modeling of Cd(II) ions removal by valonia resin
dc.type Article
dc.identifier.volume 56
dc.identifier.startpage 83
dc.identifier.endpage 96
dc.contributor.department Sakarya Üniversitesi/Adapazarı Meslek Yüksekokulu/Bilgisayar Teknolojileri Bölümü
dc.contributor.saüauthor Yurtsever, Ulaş
dc.contributor.saüauthor Yurtsever, Meral
dc.contributor.saüauthor Şengil, İsmail Ayhan
dc.contributor.saüauthor Kıratlı Yılmazçoban, Nursel
dc.relation.journal DESALINATION AND WATER TREATMENT
dc.identifier.wos WOS:000367710900008
dc.identifier.doi 10.1080/19443994.2014.937756
dc.identifier.eissn 1944-3986
dc.contributor.author Yurtsever, Ulaş
dc.contributor.author Yurtsever, Meral
dc.contributor.author Şengil, İsmail Ayhan
dc.contributor.author Kıratlı Yılmazçoban, Nursel


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