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

被引：16

作者：

Khayamian, T ^{[1
]}

Ensafi, AA ^{[1
]}

Atabati, M ^{[1
]}

机构：

[1] Isfahan Univ Technol, Coll Chem, Esfahan, Iran

来源：

MICROCHEMICAL JOURNAL | 2000年 / 65卷 / 03期

关键词：

copper; 1-(2-qyridylazo)-2-naphtol; neural network; principal component analysis;

D O I：

10.1016/S0026-265X(00)00157-0

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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 mug/1) 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 its narrow linear range (5-50 mug/l) to the high dynamic range (5-550 mug/l). (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：347 / 351

页数：5

共 12 条

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[2]

Aries R. E., 1991, CHEM BR, P821

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