Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks-Reference-Cited by-同舟云学术

Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks

Published:2007 Issue:12 Volume:21 Page:567-577
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Hervás Cesar,Gutierrez Pedro Antonio,Silva Manuel,Serrano Juan Manuel

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference41 articles.

1. Simultaneous resolution of overlapping peaks in high-performance liquid chromatography and micellar electrokinetic chromatography with diode array detection using augmented iterative target transformation factor analysis

2. Automatic program for peak detection and deconvolution of multi-overlapped chromatographic signals

3. Development and validation of a method for determining pesticides in groundwater from complex overlapped HPLC signals and multivariate curve resolution

4. Parallel factor analysis of HPLC-DAD data for binary mixtures of lidocaine and prilocaine with different levels of chromatographic separation

5. Quantification from highly drifted and overlapped chromatographic peaks using second-order calibration methods

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