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PubMed · 12958920

[Progress in knowledge-based X-ray fluorescence spectrometry].

L Q Luo·G Z Ma
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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.

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AlgorithmsArtificial IntelligenceExpert SystemsFuzzy LogicNeural Networks, ComputerPattern Recognition, AutomatedSoftwareSpectrometry, X-Ray EmissionJournal ArticleReview

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L Q Luo, G Z Ma. 2001. [Progress in knowledge-based X-ray fluorescence spectrometry].. https://pubmed.ncbi.nlm.nih.gov/12958920/

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