Feature selection by genetic algorithms for mass spectral classifiers
- 30 October 2001
- journal article
- conference paper
- Published by Elsevier in Analytica Chimica Acta
- Vol. 446 (1-2) , 483-492
- https://doi.org/10.1016/s0003-2670(01)00910-2
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Qualitative and quantitative aspects of the application of genetic algorithm-based variable selection in polarography and stripping voltammetryAnalytica Chimica Acta, 1999
- GA Strategy for Variable Selection in QSAR Studies: GA-Based Region Selection for CoMFA ModelingJournal of Chemical Information and Computer Sciences, 1998
- Optimization of the Inner Relation Function of QPLS Using Genetic AlgorithmJournal of Chemical Information and Computer Sciences, 1997
- Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometryAnalytica Chimica Acta, 1997
- GA Strategy for Variable Selection in QSAR Studies: GA-Based PLS Analysis of Calcium Channel AntagonistsJournal of Chemical Information and Computer Sciences, 1997
- Mass Spectral Classifiers for Supporting Systematic Structure ElucidationJournal of Chemical Information and Computer Sciences, 1996
- Genetic Algorithms as a Tool for Wavelength Selection in Multivariate CalibrationAnalytical Chemistry, 1995
- Application of a genetic algorithm to feature selection under full validation conditions and to outlier detectionJournal of Chemometrics, 1994
- Partial least-squares regression: a tutorialAnalytica Chimica Acta, 1986
- Computerized learning machines applied to chemical problems. Molecular formula determination from low resolution mass spectrometryAnalytical Chemistry, 1969