Artificial neural networks approach for zeta potential of Montmorillonite in the presence of different cations |
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| Authors: | Yeliz Yukselen Yusuf Erzin |
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| Institution: | (1) Faculty of Engineering, Department of Civil Engineering, Dokuz Eylul University, 35160 Buca, İzmir, Turkey;(2) Faculty of Engineering, Department of Civil Engineering, Celal Bayar University, 45140 Manisa, Turkey |
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| Abstract: | In this study, the zeta potential of montmorillonite in the presence of different chemical solutions was modeled by means
of artificial neural networks (ANNs). Zeta potential of the montmorillonite was measured in the presence of salt cations,
Na+, Li+ and Ca2+ and metals Zn2+, Pb2+, Cu2+, and Al3+ at different pH values, and observed values pointed to a different behavior for this mineral in the presence of salt and heavy
metal cations. Artificial neural networks were successfully developed for the prediction of the zeta potential of montmorillonite
in the presence of salt and heavy metal cations at different pH values and ionic strengths. Resulting zeta potential of montmorillonite
shows different behavior in the presence of salt and heavy metal cations, and two ANN models were developed in order to be
compared with experimental results. The ANNs results were found to be close to experimentally measured zeta potential values.
The performance indices such as coefficient of determination, root mean square error, mean absolute error, and variance account
for were used to control the performance of the prediction capacity of the models developed in this study. These indices obtained
make it clear that the predictive models constructed are quite powerful. The constructed ANN models exhibited a high performance
according to the performance indices. This performance has also shown that the ANNs seem to be a useful tool to minimize the
uncertainties encountered during the soil engineering projects. For this reason, the use of ANNs may provide new approaches
and methodologies. |
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| Keywords: | Artificial neural networks Contamination Heavy metals Montmorillonite Zeta potential |
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