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  2. 合肥物质科学研究院
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  4. 中科院等离子体物理研究所
Identification of weak peaks in X-ray fluorescence spectrum analysis based on the hybrid algorithm combining genetic and Levenberg Marquardt algorithm

文献类型：期刊论文

作者Du, Hua2,3; Chen, Wuhui2,3; Zhu, Qingjun2; Liu, Songlin2; Zhou, Jianbin1
刊名APPLIED RADIATION AND ISOTOPES
出版日期2018-11-01
卷号141页码:149-155
关键词Cadmium Weak peak Hybrid algorithm Genetic algorithm Levenberg-Marquardt algorithm
ISSN号0969-8043
DOI10.1016/j.apradiso.2018.07.009
通讯作者Zhu, Qingjun(zhuqingjun@ipp.ac.cn)
英文摘要Accurate measurement of cadmium content in rice is of utmost importance to determine if the inspected rice product is safe to people. X-ray fluorescence analysis is frequently used for multi-element analysis because it has characteristics of fast, accurate and nondestructive. However, due to the low content of cadmium in rice, its corresponding characteristics energy peak is relatively weak and is sensitive to the background information in the X-ray energy spectrum. Thus, it is very tough to obtain the accurate values of cadmium content by utilizing traditional X-ray fluorescence analysis. In this paper, the identification of weak peaks of cadmium is much improved by proposing a hybrid algorithm combining genetic algorithm (GA) and Levenberg-Marquardt algorithm (LM). The hybrid algorithm not only takes full advantages of GA and LM respectively but also inhibits their unwanted properties: poor local search ability of GA and locally convergent of LM. The proposed hybrid algorithm is employed to identify weak peaks in X-ray spectra of six contaminated rice samples with different contents of cadmium. Two comparative experiments are conducted to compare the performance between GA, LM and the proposed hybrid algorithm. One of the comparative experiments has the relative error varying with the number of calculations, which aims to verify the accuracy and stability. The results show that the hybrid algorithm is a better option in terms of accuracy and stability. Another comparative experiment of which the average relative error varies with the number of iterations is conducted to verify the computing efficiency. The experiments show that the hybrid algorithm exhibits a faster convergence rate. Two numerical experiments demonstrate that the proposed algorithm can well resolve the identification issue of the cadmium in the X-ray spectra and significantly improve the content measurement accuracy of cadmium in the quality evaluation experiment of rice products.
WOS关键词ITAI-ITAI DISEASE ; JINZU RIVER BASIN ; CADMIUM ; RICE ; DYSFUNCTION ; ROCKS ; SOILS
资助项目Research Foundation of ASIPP[DSJJ-14-GC05]
WOS研究方向Chemistry ; Nuclear Science & Technology ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:000449448300024
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP ; Research Foundation of ASIPP
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/34238]  
专题合肥物质科学研究院_中科院等离子体物理研究所
通讯作者Zhu, Qingjun
作者单位1.Chengdu Univ Technol, Coll Nucl Technol & Automat Engn, Chengdu 610059, Sichuan, Peoples R China
2.Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Anhui, Peoples R China
3.Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China
推荐引用方式
GB/T 7714		 Du, Hua,Chen, Wuhui,Zhu, Qingjun,et al. Identification of weak peaks in X-ray fluorescence spectrum analysis based on the hybrid algorithm combining genetic and Levenberg Marquardt algorithm[J]. APPLIED RADIATION AND ISOTOPES,2018,141:149-155.
APA Du, Hua,Chen, Wuhui,Zhu, Qingjun,Liu, Songlin,&Zhou, Jianbin.(2018).Identification of weak peaks in X-ray fluorescence spectrum analysis based on the hybrid algorithm combining genetic and Levenberg Marquardt algorithm.APPLIED RADIATION AND ISOTOPES,141,149-155.
MLA Du, Hua,et al."Identification of weak peaks in X-ray fluorescence spectrum analysis based on the hybrid algorithm combining genetic and Levenberg Marquardt algorithm".APPLIED RADIATION AND ISOTOPES 141(2018):149-155.

入库方式： OAI收割

来源：合肥物质科学研究院

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