Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN).

In addition, it was observed that the variation of the rate constant, k 2 , seems to have a decreasing trend for increasing Cu(II) concentration The sum of squared error (SSE) results between the experimental data and the predicted values were minimized using the solver add-in function of Microsoft Excel [ 42 ] and are also presented in Table 2 .

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