Enhancement of heavy metals sorption via nanocomposites of rice straw and Fe3O4 nanoparticles using artificial neural network (ANN)

Enhancement of heavy metals sorption via nanocomposites of rice straw and Fe3O4 nanoparticles using artificial neural network (ANN)

The artificial neural network (ANN) modeling of adsorption of Pb(II) and Cu(II) was carried out for determination of the optimum values of the variables to get the maximum removal efficiency. The input variables were initial ion concentration, adsorbent dosage, and removal time, while the removal ef...

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Detalles Bibliográficos
Main Authors: Khandanlou, Roshanak, Masoumi, Hamid Reza Fard, Ahmad @ Ayob, Mansor, Shameli, Kamyar, Basri, Mahiran, Kalantari, Katayoon
Formato: Artigo
Idioma:English
Publicado: Elsevier 2016
Acceso en liña:http://psasir.upm.edu.my/id/eprint/43223/1/Enhancement%20of%20heavy%20metals%20sorption%20via%20nanocomposites%20of%20rice%20straw%20and%20Fe3O4%20nanoparticles%20using%20artificial%20neural%20network%20%28ANN%29.pdf

Internet

http://psasir.upm.edu.my/id/eprint/43223/1/Enhancement%20of%20heavy%20metals%20sorption%20via%20nanocomposites%20of%20rice%20straw%20and%20Fe3O4%20nanoparticles%20using%20artificial%20neural%20network%20%28ANN%29.pdf

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