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Extending the dynamic range of the determination of copper by adsorption differential pulse stripping method using a principal component artificial neural network

Authors: T Khayamian, Ali A Ensafi, M Atabati
Publication date: 2000/10/31
Journal name: Microchemical journal
Volume: 65
Pages: 347-351
Publisher: Elsevier
 
A principal component artificial neural network (PC-ANN) has been applied for the analysis
of the voltammogram data of Cu (II) and Cu (II)–PAN complex for extending the dynamic
range of the determination of Cu (II)(5–550 μg/l). A three layer back-propagation network (6:
5: 1) was used with learning rate (r= 0.09) and momentum (m= 0.9), with sigmoidal transfer
function in the hidden layer and one bias node in the input layer. Overall, the application of
PC-ANN enables the extension of the dynamic range of the determination of Cu (II) from ...

 

Journal Papers
Month/Season: 
October
Year: 
2000

تحت نظارت وف ایرانی

Extending the dynamic range of the determination of copper by adsorption differential pulse stripping method using a principal component artificial neural network | Prof. Ali A. Ensafi

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تحت نظارت وف ایرانی