Automatic classification of steels by processing energy-dispersive X-ray spectra with artificial neural networks

Journal of Chemical Information and Computer Sciences

Volumn 38, Issue 4, 1998, Pages 605-609

  Magallanes, Jorge F ^a,b   Vazquez, Cristina ^a  

^a CENTRO ATÓMICO CONSTITUYENTES   (Argentina)

^b UNIVERSIDAD NACIONAL DEL CENTRO DE LA PROVINCIA DE BUENOS AIRES   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001623999     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci9701143     Document Type: Article

References (9)

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