title: [Progress in knowledge-based X-ray fluorescence spectrometry].
abstract: The review focuses on the expert systems and knowledge engineering in X-ray fluorescence spectrometry. It includes mainly a knowledge-controlled strategy combining the scan-based method with the fixed channel measurements, a XRF interpretation system of spectra with fuzzy logic and pattern recognition, and an expert system for qualitative interpretation of XRF spectra using a certainty factor. In the review, a series of the studies of exploring the knowledge engineering system in XRF are also included, which consists of four parts, i.e. spectra identification, pattern recognition with decision-making, quantitative determination combined with the theoretical alpha coefficients and neural networks, and XRF analysis without standards.
authors.affiliation: National Research Center of Geoanalysis, Beijing 100037, China.
authors.forename: L Q
authors.initials: LQ
authors.lastname: Luo
authors.forename: G Z
authors.initials: GZ
authors.lastname: Ma
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D005103:Expert Systems; D017143:Fuzzy Logic; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D012984:Software; D013052:Spectrometry, X-Ray Emission / Q000295:instrumentation / Q000379:methods