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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| Autores principales: | , |
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| Formato: | JOUR |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00952338_v38_n4_p605_Magallanes |
| Aporte de: |
| Sumario: | 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. |
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