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Artificial intelligence and regression analysis for Cd(II)

Retrieved on: 2017-12-12 01:30:34

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<div><b>Artificial</b> neural network (ANN) with a structure of 5–10–1 was performed to predict the Cd(II) ion removal efficiency. The ANN model provided high fit (R<sup>2</sup> 0.923) to the experimental data and indicated that Co was the most influential input. A pure-quadratic model was developed to determine the effects of ...</div>

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