Automatic Classification of Steels by Processing Energy-Dispersive X-ray Spectra with Artificial Neural Networks

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...

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Veröffentlicht in:Journal of Chemical Information and Computer Sciences 1998-07, Vol.38 (4), p.605-609
Hauptverfasser: Magallanes, Jorge F, Vazquez, Cristina
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Vazquez, Cristina
description 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 × 1 1 dimension was used. This net architecture allows on-line classification with 100% efficiency, that is, without errors.
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1520-5142
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subjects Artificial neural networks
Automatic classification
Neural networks
Steels
X-ray spectra
title Automatic Classification of Steels by Processing Energy-Dispersive X-ray Spectra with Artificial Neural Networks
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