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• W2071551165 abstract "A wavelet neural network (WNN) model is proposed for extending the dynamic range of Cu(II) determination by differential pulse adsorption cathodic stripping voltammetry (DP-AdSV) using xylenol orange (XO) as a suitable ligand. All of voltammograms data consisting of Cu(II) and Cu(II)-XO peak currents were used in WNN model. The WNN model consisted of three layers (2-8-1) with the Morlet mother wavelet transfer function in the hidden layer. The model was able to extend the dynamic range of Cu(II) from its narrow linear range (1-50 ng ml(-1)) to the higher dynamic range (1-1500 ng ml(-1)). The results of the WNN model was also compared with artificial neural network (ANN) model and it was demonstrated the superiority of the WNN model relative to ANN model." @default.
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• W2071551165 date "2006-07-15" @default.
• W2071551165 modified "2023-10-16" @default.
• W2071551165 title "Extending the dynamic range of copper determination in differential pulse adsorption cathodic stripping voltammetry using wavelet neural network" @default.
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• W2071551165 doi "https://doi.org/10.1016/j.talanta.2005.12.033" @default.
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