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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 ...
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