Application of Unsupervised Chemometric Analysis and Self-organizing Feature Map (SOFM) for the Classification of Lighter Fuels
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چکیده
منابع مشابه
Application of unsupervised chemometric analysis and self-organizing feature map (SOFM) for the classification of lighter fuels.
A variety of lighter fuel samples from different manufacturers (both unevaporated and evaporated) were analyzed using conventional gas chromatography-mass spectrometry (GC-MS) analysis. In total 51 characteristic peaks were selected as variables and subjected to data preprocessing prior to subsequent analysis using unsupervised chemometric analysis (PCA and HCA) and a SOFM artificial neural net...
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ژورنال
عنوان ژورنال: Analytical Chemistry
سال: 2010
ISSN: 0003-2700,1520-6882
DOI: 10.1021/ac100381a