Kohonen artificial neural networks as a tool for wavelength selection in multicomponent spectrofluorimetric PLS modelling: application to phenol, o-cresol, m-cresol and p-cresol mixtures
- 28 February 1999
- journal article
- Published by Elsevier in TrAC Trends in Analytical Chemistry
- Vol. 18 (2) , 93-98
- https://doi.org/10.1016/s0165-9936(98)00097-1
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Theoretical Justification of Wavelength Selection in PLS Calibration: Development of a New AlgorithmAnalytical Chemistry, 1998
- 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
- Genetic-algorithm-based wavelength selection in multicomponent spectrometric determinations by PLS: application on indomethacin and acemethacin mixtureAnalytica Chimica Acta, 1997
- Resolution of phenol, o-cresol, m-cresol and p-cresol mixtures by excitation fluorescence using partial least-squares (PLS) multivariate calibrationAnalytica Chimica Acta, 1996
- Elimination of Uninformative Variables for Multivariate CalibrationAnalytical Chemistry, 1996
- Wavelength Selection for Simultaneous Spectroscopic Analysis. Experimental and Theoretical StudyAnalytical Chemistry, 1996
- Wavelength selection method for multicomponent spectrophotometric determinations using partial least squaresThe Analyst, 1995
- Nonlinear multivariate calibration using principal components regression and artificial neural networksAnalytical Chemistry, 1991
- Effects of wavelength range on the simultaneous quantitation of polynuclear aromatic hydrocarbons with absorption spectraAnalytica Chimica Acta, 1985
- Quantitation and identification of polynuclear aromatic hydrocarbons by liquid chromatography and multiwavelength absorption spectrometryAnalytica Chimica Acta, 1984