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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2016
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| 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 |