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

Language: English

Published by LAP LAMBERT Academic Publishing, 2020

6202514078 / 9786202514071

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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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Title
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
Author
Rashin Andayesh
Publisher
LAP LAMBERT Academic Publishing
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202514078
ISBN 13
9786202514071
Item weight
96 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

Einbeck, Germany

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