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

• Main Authors: Khandanlou, Roshanak, Fard Masoumi, Hamid Reza, Ahmad @ Ayob, Mansor, Shameli, Kamyar, Basri, Mahiran, Kalantari, Katayoon
• Format: Article
• Language: English
• Published: Elsevier 2016
• Online Access: http://psasir.upm.edu.my/id/eprint/54168/1/Enhancement%20of%20heavy%20metals%20sorption%20via%20nanocomposites%20of%20rice%20straw.pdf; http://psasir.upm.edu.my/id/eprint/54168/; https://www.sciencedirect.com/science/article/pii/S0925857416301616
• Institution: Universiti Putra Malaysia

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...