Determination of number of significant components and key variables using genetic algorithms in liquid chromatography-nuclear magnetic resonance spectroscopy and liquid chromatography-diode array detection-Reference-Cited by-同舟云学术

Determination of number of significant components and key variables using genetic algorithms in liquid chromatography-nuclear magnetic resonance spectroscopy and liquid chromatography-diode array detection

Published:2006-04 Issue:2 Volume:81 Page:209-217
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Wasim Mohammad,Brereton Richard G.

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference45 articles.

1. Orthogonal Projection Approach Applied to Peak Purity Assessment

2. Rapid-scanning spectrophotometry as a n ew detection system in chromatography

3. Real-time principal component analysis using parallel Kalman filter networks for peak purity analysis

4. Algorithm for the assessment of peak purity in liquid chromatography with photodiode-array detection

5. Evolving factor analysis for the resolution of overlapping chromatographic peaks

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