Authors: T Khayamian, Ali A Ensafi, A Benvidi

Publication date: 2006/7/15

Journal name: Talanta

Volume: 69

Pages: 1176-1181

Publisher: Elsevier

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– ...