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Classification of kerosene using physicochemical data and multivariate techniques.

In this paper we have compared the abilities of two multivariate classification methods: soft independent modeling of class analogy (SIMCA) and support vector machines (SVM) for kerosene classification using physicochemical data. Two types of kerosene fractions (class A and class B) with different c...

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Publicado en:Revista CENIC Ciencias Quimicas Vol. 44; no. 1; pp. 13 - 23
Autores principales: Comesaña-García, Yumirka, Cavado-Osorio, Alberto, Linchenat-Dennes, Ernesto, Dago-Morales, Ángel
Formato: Artículo
Publicado: Centro Nacional de Investigaciones Cientificas 2013
Materias:
Kerosene
Support vector machines
Chemometrics
Analytical chemistry
Pattern recognition systems
Multivariate analysis
Acceso en línea:Ver este registro en EBSCOhost