Article ISI SCOPUS
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS  (2006)

Artificial neural networks applied to quantitative elemental analysis of organic material using PIXE

Correa, R.; Chesta, MA; Morales, JR; Dinator, MI; Requena I; Vila, I.

Abstract

An artificial neural network (ANN) has been trained with real-sample PIXE (particle X-ray induced emission) spectra of organic substances. Following the training stage ANN was applied to a subset of similar samples thus obtaining the elemental concentrations in muscle, liver and gills of Cyprinus carpio. Concentrations obtained with the ANN method are in full agreement with results from one standard analytical procedure, showing the high potentiality of ANN in PIXE quantitative analyses. © 2006 Elsevier B.V. All rights reserved.

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Título según WOS: Artificial neural networks applied to quantitative elemental analysis of organic material using PIXE
Título según SCOPUS: Artificial neural networks applied to quantitative elemental analysis of organic material using PIXE
Título de la Revista: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS
Volumen: 248
Número: 2
Editorial: ELSEVIER SCIENCE BV
Fecha de publicación: 2006
Página de inicio: 324
Página final: 328
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S0168583X06006434
DOI:

10.1016/j.nimb.2006.05.001
Notas: ISI, SCOPUS