Predicting the Removal Amount of SCN- by TiO2 NPs Using ANN Methods: Using Novel Artificial Neural Network Methods in Removing Aqueous Thiocyanate Anions by Titanium Dioxide Nanoparticles - Couverture souple

Andayesh, Rashin

 
9786202514071: Predicting the Removal Amount of SCN- by TiO2 NPs Using ANN Methods: Using Novel Artificial Neural Network Methods in Removing Aqueous Thiocyanate Anions by Titanium Dioxide Nanoparticles
Couverture souple
ISBN 10 : 6202514078 ISBN 13 : 9786202514071
Editeur : LAP LAMBERT Academic Publishing, 2020

Synopsis

In this work, the adsorbent method is performed using artificial neural network (ANN) modeling. The adsorbent is applied for removal of Thiocyanate in water samples using Titanium Dioxide (TiO2) nanoparticles as effective sorbent. Prediction amount of Thiocyanate removal was investigated with novel algorithms of neural network. For this purpose, six parameters were chosen as training input data of neural network functions including pH, time of stirring, the mass of adsorbent, volume of TiO2, volume of Fe (III), and volume of buffer. Performances of the suggested methods were examined using statistical parameters and found that it is an efficient, effective modeling satisfactory outputs. The radial basis function (RBF) and Levenberg-Marquardt (LM) algorithm could accurately predict the experimental data with correlation coefficient of 0.997939 and 0.99931, respectively. The Pearson's Chi–square measure was found to be 29.00 for most variables, indicating that these variables are likely to be dependent in some way.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2020
Langue
anglais
ISBN 10 
6202514078
ISBN 13 
9786202514071
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
Personne responsable
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