Navegar

Colección

Datos Estadísticas

Artículo

Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

The automatic classification of steels has been studied. The chemical compositions of 19 certificate steels were correlated with its energy dispersion X-ray fluorescence spectra. Twelve relevant elements of these samples were selected for data processing through artificial neural networks (ANNs). A Kohonen type ANN of 8 × 8 × 11 dimension was used. This net architecture allows on-line classification with 100% efficiency, that is, without errors.

Registro:

Documento: Artículo
Título:Automatic classification of steels by processing energy-dispersive X-ray spectra with artificial neural networks
Autor:Magallanes, J.F.; Vazquez, C.
Filiación:Unidad de Actividad Química, Centro Atómico Constituyentes, Comn. Nac. de Ener. Atómica, Avenida Del Libertador 8250, 1429 Buenos Aires, Argentina
Depto. Quim. Inorg., Analitica Y Q., Universidad Nacional de Buenos Aires, Ciudad Universitaria de Nuñez, Pabellón 2, 1428 Buenos Aires, Argentina
Año:1998
Volumen:38
Número:4
Página de inicio:605
Página de fin:609
DOI: http://dx.doi.org/10.1021/ci9701143
Título revista:Journal of Chemical Information and Computer Sciences
Título revista abreviado:J. Chem. Inf. Comput. Sci.
ISSN:00952338
CODEN:JCISD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00952338_v38_n4_p605_Magallanes

Referencias:

  • Bertin, E.P., (1975) Principles and Practice of X-ray Spectrometric Analysis, 2nd Ed., , Plennum Press: New York
  • LiMin, F., (1994) Neural Networks in Computer Intelligence, , McGraw-Hills Series in Computer Sciences, International Edition; McGraw-Hill: Singapore
  • Zupan, J., Gasteiger, J., (1993) Neural Networks for Chemists, , VCH Publishers: New York
  • Veelenturf, L.P.J., (1995) Analysis and Applications of Artificial Neural Networks, , Prentice Hall: London
  • Ruisanchez, I., Potokar, P., Zupan, J., Classification of Energy Dispersion X-ray Spectra of Mineralogical Samples by Artificial Neural Networks (1996) J. Chem. Inf. Comput. Sci., 36, pp. 214-220
  • Van Espen, P., He, F., AXIL, Quantitative X-ray Fluorescence Analysis, , Technical Note; Antwerp (Wilrijk)-Belgium
  • Van Espen, P., Janssens, K., Swenters, I., (1990) AXIL, X-ray Analysis Software Users Manual, , Antwerp (Wilrijk)-Belgium
  • Rozycki, Cezary, Sample Classification in the Case of Known Classes. Use of the X-ray fluorescence spectra (1986) Chem. Anal. (Warsaw), 31 (3-6), pp. 751-761
  • Cleij, P., Hoogergrugge, R., Linear Data Projection Using a Feedforward Neural Network (1997) Anal. Chim. Acta, 348, pp. 495-501

Citas:

---------- APA ----------
Magallanes, J.F. & Vazquez, C. (1998) . Automatic classification of steels by processing energy-dispersive X-ray spectra with artificial neural networks. Journal of Chemical Information and Computer Sciences, 38(4), 605-609.
http://dx.doi.org/10.1021/ci9701143
---------- CHICAGO ----------
Magallanes, J.F., Vazquez, C. "Automatic classification of steels by processing energy-dispersive X-ray spectra with artificial neural networks" . Journal of Chemical Information and Computer Sciences 38, no. 4 (1998) : 605-609.
http://dx.doi.org/10.1021/ci9701143
---------- MLA ----------
Magallanes, J.F., Vazquez, C. "Automatic classification of steels by processing energy-dispersive X-ray spectra with artificial neural networks" . Journal of Chemical Information and Computer Sciences, vol. 38, no. 4, 1998, pp. 605-609.
http://dx.doi.org/10.1021/ci9701143
---------- VANCOUVER ----------
Magallanes, J.F., Vazquez, C. Automatic classification of steels by processing energy-dispersive X-ray spectra with artificial neural networks. J. Chem. Inf. Comput. Sci. 1998;38(4):605-609.
http://dx.doi.org/10.1021/ci9701143