Abstract
AbstractA set of programs in Fortran 77 has been written to automate quantitative analysis on the Rigaku SMAX/PDP-11/73 XRF System. The spectrometer can be instructed and Trained to recognize spectral patterns of soda-lime glass or other materials.The method of pattern recognition employed is based on the relative position of spectra-vectors in N-Dimension Euclidean feature space. The distance between 2 vector-points: is used as a classifier.The software correlates between 2 Euclidean feature spaces:- Spectra Feature-Space- Chemistry Feature-SpaceQuantitative results are extracted automatically and printed in laboratory report form. Mathematical modeling with associated software and the results obtained are presented.
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