Application of artificial neural networks as a technique for interference removal: kinetic-spectrophotometric determination of trace amounts of Se(IV) in the presence of Te(IV)

被引：15

作者：

Absalan, G ^{[1
]}

Safavi, A ^{[1
]}

Maesum, S ^{[1
]}

机构：

[1] Shiraz Univ, Dept Chem, Fac Sci, Shiraz 71454, Iran

来源：

TALANTA | 2001年 / 55卷 / 06期

关键词：

Se(IV); Te(IV); interference removal; artificial neural networks;

D O I：

10.1016/S0039-9140(01)00553-7

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Artificial neural networks (ANNs) are among the most popular techniques for nonlinear multivariate calibration in complicated mixtures using spectrophotometric data. In this study we propose a computer-based method for removing Te(IV) interference in the determination of Se(IV) using artificial neural networks. In this way, an artificial neural network consisting of three layers of nodes was trained by applying a back-propagation learning rule. The resulting RMSE of prediction for selenium was obtained as 0.108. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：1227 / 1233

页数：7

共 18 条

[1] SPECTROPHOTOMETRIC DETERMINATION OF TRACE AMOUNTS OF SELENIUM WITH CATALYTIC REDUCTION OF BROMATE BY HYDRAZINE IN HYDROCHLORIC-ACID MEDIA [J].