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
In this work, the adsorbent method is performed using arti¿cial 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 ef¿cien…
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Produktdetails
- ISBN: 978-620-2-51407-1
- EAN: 9786202514071
- Produktnummer: 37226485
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 52 S.
- Masse: H22.0 cm x B15.0 cm x D0.3 cm 96 g
- Abbildungen: Paperback
- Gewicht: 96
Über den Autor
Rashin Andayesh has always dreamed of becoming a chemist, but it didn't give her a sense of serenity and peace of mind when she had environmental concerns. Rashin achieved her goal and hold an MSc degree in Analytical Chemistry and now, she is a PhD student in University of South Australia to fulfill her ambition about Environmental Science.
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