کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1245689 | 969729 | 2006 | 6 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Extending the dynamic range of copper determination in differential pulse adsorption cathodic stripping voltammetry using wavelet neural network Extending the dynamic range of copper determination in differential pulse adsorption cathodic stripping voltammetry using wavelet neural network](/preview/png/1245689.png)
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.
Journal: Talanta - Volume 69, Issue 5, 15 July 2006, Pages 1176–1181