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 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.