The use of artificial neural networks (ANN) for modeling of adsorption of Cu(II) from industrial leachate by pumice

By N. Turan, B. Mesci, O. Ozgonenel. 2011

180 citations recorded by the source corpus.

Subfields: Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/e9276cb4d52e02a6a5c8508f543269d79998fe23

How researchers see this paper

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1. M. Mosaddeghi
2. Shamsollah Ayoubi
3. Rainer Schulin
4. M. Hajabbasi
5. A. Besalatpour

Citations in the corpus

• Estimating wet soil aggregate stability from easily available properties in a highly mountainous watershed (2013, methodology): “In other studies, Turan et al. (2011) used ANNs for modeling of adsorption of Cu (II) from industrial leachate by pumice and concluded that by the use of ANNs removal of Cu (II) from aqueous leachate effectively improved up to about 98%.”