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

• 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/47423/1/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; http://psasir.upm.edu.my/id/eprint/47423/; http://link.springer.com/article/10.1007%2Fs11164-015-2129-8

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...