Optimization of process parameters for rapid adsorption of Pb(II), Ni(II), and Cu(II) by magnetic/talc nanocomposite using wavelet neural network

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Optimization of process parameters for rapid adsorption of Pb(II), Ni(II), and Cu(II) by magnetic/talc nanocomposite using wavelet neural network

Artificial neural networks have been widely used to solve problems because of their reliable, robust, and salient characteristics in capturing nonlinear relationships between variables in complex systems. In this study, a wavelet neural network (WNN) based on the incremental backpropagation (IBP) al...

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Bibliographic Details
Main Authors:	Darajeh, Negisa, Masoumi, Hamid Reza Fard, Kalantari, Katayoon, Ahmad @ Ayob, Mansor, Shameli, Kamyar, Basri, Mahiran, Khandanlou, Roshanak
Format:	Article
Language:	English
Published:	Springer 2016
Online Access:	http://psasir.upm.edu.my/id/eprint/47423/ http://psasir.upm.edu.my/id/eprint/47423/1/Optimization%20of%20process%20parameters%20for%20rapid%20adsorption%20of%20Pb%28II%29%2C%20Ni%28II%29%2C%20and%20Cu%28II%29%20by%20magnetictalc%20nanocomposite%20using%20wavelet%20neural%20network.pdf

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