Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide nanoparticle-Reference-Cited by-同舟云学术

Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide nanoparticle

Published:2014-05 Issue: Volume:125 Page:264-277
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Ghaedi M.,Zeinali N.,Ghaedi A.M.,Teimuori M.,Tashkhourian J.

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference72 articles.

1. Studies on the treatment of brilliant green solution by combination microwave induced oxidation with CoFe2O4

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3. Applicability of waste materials—bottom ash and deoiled soya—as adsorbents for the removal and recovery of a hazardous dye, brilliant green

4. Decolorization of Wastewater

5. Adsorptive removal of congo red dye from aqueous solution using bael shell carbon

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