Proceedings of the International Symposium "Engineering and Earth Sciences: Applied and Fundamental Research" dedicated to the 85th anniversary of H.I. Ibragimov (ISEES 2019)

Modeling of Ammonium and COD Adsorption in Aqueous Solutions Using an Artificial Neural Network

Authors
Ah.S. Khalil, A.S. Smolyanichenko, E.V. Vilson, E.E. Shchutskaya, E.G. Tsurikova
Corresponding Author
Ah.S. Khalil
Available Online August 2019.
DOI
10.2991/isees-19.2019.42How to use a DOI?
Keywords
adsorption; artificial neural networks; modeling; ammonium.
Abstract

This paper illustrates the application of the artificial neural network for adsorption of ammonium NH4+ and COD from fish farm by rice straw as low cost carbonaceous. The effects of input parameters (contact time, pH, initial concentration of NH4+ and COD, adsorbent dosages, and temperature) are studied to optimize the conditions for maximum removal of NH4+ and COD. The artificial neural network with a single hidden layer with ten nodes trained with Levenberg-Marquardt algorithm predicted the removal efficiency of NH4+ and COD from aqueous solution accurately.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Symposium "Engineering and Earth Sciences: Applied and Fundamental Research" dedicated to the 85th anniversary of H.I. Ibragimov (ISEES 2019)
Series
Atlantis Highlights in Material Sciences and Technology
Publication Date
August 2019
ISBN
10.2991/isees-19.2019.42
ISSN
2590-3217
DOI
10.2991/isees-19.2019.42How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ah.S. Khalil
AU  - A.S. Smolyanichenko
AU  - E.V. Vilson
AU  - E.E. Shchutskaya
AU  - E.G. Tsurikova
PY  - 2019/08
DA  - 2019/08
TI  - Modeling of Ammonium and COD Adsorption in Aqueous Solutions Using an Artificial Neural Network
BT  - Proceedings of the International Symposium "Engineering and Earth Sciences: Applied and Fundamental Research" dedicated to the 85th anniversary of H.I. Ibragimov (ISEES 2019)
PB  - Atlantis Press
SP  - 610
EP  - 616
SN  - 2590-3217
UR  - https://doi.org/10.2991/isees-19.2019.42
DO  - 10.2991/isees-19.2019.42
ID  - Khalil2019/08
ER  -