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Ash and modified ash were investigated as alternative adsorbents for copper ions. Our aim was to establish optimal working conditions for obtaining the new adsorbents, using a neuro-evolutionary optimization methodology. The materials were characterized by SEM, FT-IR, EDAX, XRD, and by the removal percentage. Three multilayer perceptron neural networks were developed and aggregated into a stack to...
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