Research of Carborne γ-Ray Energe Spectrum Radiation Dose Rate Based on FFT-BP Network Model
XU Li-peng1, 2, GE Liang-quan1*, DENG Xiao-qin2, CHEN Li2, ZHAO Qiang2, LI Bin2, WANG Liang2
1. College of Nuclear Technology and Automation Engineering，Chengdu University of Technology，Chengdu 610059，China
2. Sichuan Management and Monitoring Center Station of Radioactive Environment，Chengdu 611139，China
Abstract：In order to measure the radiation dose rate accurately with carborne γ spectrometer patrol system, proposed a modified back-propagation network(BP network) model basised on fast fourier transform background deduct method(FFT-BP network model). Using γ-ray energy spectrum analysis method to test the carborne γ-ray energe spectrum of Cs-137 of different spacings, adopting FFT method to deduct the background of spectrum data then get new spectrum data. The modified B-P network model is applied to qualitatively predict the radiation dose rate of unknow dose carborne γ spectrum, by comparing the predicted results with fitting results of 3 function models to verify the effect of FFT-BP network model. The results show the FFT deduct method can weaken the influence of the scattering background on γ spectrum and reduce spectrum background effectively. The correlation coefficients between characteristic peak area and net area getting from new spectrum are 0.99 (p<0.05), which shows a remarkable correlation. In the process of model fitting, FFT-BP network model shows strong ability of learning and generalization, the prediction of experimental results is ideal, relative error and accumulative error are below 0.6% and 9% respectively, it has better effect than mathematical methods and gamma spectra method and it also can reduce the error of radiation dose rate analized by γ-spectra analysis method, improve the work efficiency effectively. There fore, FFT-BP network model can apply to predictive analysis of γ-ray energy spectrum radiation dose, which provide a new and efficient method for carborne γ spectrometer patrol system to measure radiation dose.
徐立鹏，葛良全，邓晓钦，陈 立，赵 强，李 斌，王 亮. FFT-BP神经网络模型对车载γ能谱辐射剂量率的预测分析[J]. 光谱学与光谱分析, 2018, 38(02): 590-594.
XU Li-peng, GE Liang-quan, DENG Xiao-qin, CHEN Li, ZHAO Qiang, LI Bin, WANG Liang. Research of Carborne γ-Ray Energe Spectrum Radiation Dose Rate Based on FFT-BP Network Model. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 590-594.
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