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  5. A Genetic-Algorithm-based Neural Network Approach for Elemental Content Analysis in EDXRF

A Genetic-Algorithm-based Neural Network Approach for Elemental Content Analysis in EDXRF

来源 :7th International Symposium on Radiation Safety and Detectio | 被引量 : 0次 | 上传用户：homking14
【摘 要】
：
　　Quantitative elemental content analysis becomes complex due to the noise, the spectrum peak superposition, element matrix effect, etc., using energy dispers
【作 者】
：
Jun Wang MingZhe Liu XianGuo Tuo Zhe Li Lei Li Rui Shi 
【机 构】
：
StateKeyLaboratoryofGeohazardPreventionandGeoenvironmentProtection,ChengduUniversityofTechnology,Che
【出 处】
：
7th International Symposium on Radiation Safety and Detectio
【发表日期】
：
2013年7期
【关键词】
：
EDXRF quantitative analysis BP neural network genetic algorithm 
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　　Quantitative elemental content analysis becomes complex due to the noise, the spectrum peak superposition, element matrix effect, etc., using energy dispersive X-ray fluorescence (EDXRF) technique.
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