Spectrometry analysis based on approximation coefficients and deep belief networks  

作　　者：Jian-Ping He Xiao-Bin Tang Pin Gong Peng Wang Zhen-Yang Han Wen Yan Le Gao 

机构地区：[1]Department of Nuclear Science and Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China [2]Jiangsu Key Laboratory of Nuclear Energy Equipment Materials Engineering,Nanjing 210016,China

出　　处：《Nuclear Science and Techniques》2018年第5期65-74,共10页核技术（英文）

基　　金：supported by the National Natural Science Foundation of China(No.11675078);the Foundation of Graduate Innovation Center in NUAA(No.kfjj20160606,kfjj20170613,and kfjj20170617);the Primary Research and Development Plan of Jiangsu Province(No.BE2017729);the Fundamental Research Funds for the Central Universities(No.NJ20160034);the Funding of Jiangsu Innovation Program for Graduate Education(No.KYLX16_0353);the Priority Academic Program Development of Jiangsu Higher Education Institutions

摘　　要：A method of spectrometry analysis based on approximation coefficients and deep belief networks was developed. Detection rate and accurate radionuclide identification distance were used to evaluate the performance of the proposed method in identifying radionuclides. Experimental results show that identification performance was not affected by detection time, number of radionuclides, or detection distance when the minimum detectable activity of a single radionuclide was satisfied. Moreover, the proposed method could accurately predict isotopic compositions from the spectra of moving radionuclides. Thus, the designed method can be used for radiation monitoring instruments that identify radionuclides.A method of spectrometry analysis based on approximation coefficients and deep belief networks was developed. Detection rate and accurate radionuclide identification distance were used to evaluate the performance of the proposed method in identifying radionuclides. Experimental results show that identification performance was not affected by detection time, number of radionuclides, or detection distance when the minimum detectable activity of a single radionuclide was satisfied. Moreover, the proposed method could accurately predict isotopic compositions from the spectra of moving radionuclides. Thus, the designed method can be used for radiation monitoring instruments that identify radionuclides.

关 键 词：APPROXIMATION coefficient DEEP BELIEF network SPECTROMETRY ANALYSIS RADIONUCLIDE identification Detection rate 

分 类 号：TL[核科学技术]