Use of artificial neural networks in capillary zone electrophoresis

被引：36

作者：

Farková, M ^{[1
]}

Peña-Méndez, EM ^{[1
]}

Havel, J ^{[1
]}

机构：

[1] Masaryk Univ, Fac Sci, Dept Analyt Chem, CS-61137 Brno, Czech Republic

来源：

JOURNAL OF CHROMATOGRAPHY A | 1999年 / 848卷 / 1-2期

关键词：

neural networks; artificial; experimental design; chemometrics; peak shape; optimization; mathematical modeling; computer simulation; galanthamine; alkaloids;

D O I：

10.1016/S0021-9673(99)00494-X

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The use of artificial neural networks (ANNs) for nonlinear modeling of symmetric and nonsymmetric peaks in capillary zone electrophoresis (CZE) and in optimization of CZE methods was studied. It was shown that ANNs can be used to estimate peak parameters and in combination with experimental design can be applied for efficient prediction of optimal separation conditions. The great advantage is that no use of the explicit model of the separation process and no knowledge of the physicochemical constants are needed. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：365 / 374

页数：10

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