An Artificial Neural Network Analysis of Low-resolution X-ray Fluorescence Spectra
نویسندگان
چکیده
An artificial neural network approach was used for the analysis of low-resolution XRF spectra. Instead of peak analysis and fitting the experimental results to a mathematical function as used by the conventional algorithms, the artificial neural network method takes the spectrum as a whole, comparing its shape with the patterns learned during the training period of the network. This method was tested experimentally by the XRF spectrum analysis using both x-ray tube excitation and radioisotope source excitation. A multi-element analysis of geological samples with this method was carried out and satisfactory results were obtained.
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