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An adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning

文献类型：期刊论文

作者Cao, Chenglong1,2; Gan, Quan1; Song, Jing1; Yang, Qi1; Hu, Liqin1; Wang, Fang1; Zhou, Tao1
刊名NUCLEAR ENGINEERING AND TECHNOLOGY
出版日期2020-11-01
卷号52
关键词Neutron spectrum unfolding Artificial neural network Adaptive deviation-resistant Transfer learning
ISSN号1738-5733
DOI10.1016/j.net.2020.04.028
通讯作者Gan, Quan(quan.gan@fds.org.cn)
英文摘要Neutron spectrum is essential to the safe operation of reactors. Traditional online neutron spectrum measurement methods still have room to improve accuracy for the application cases of wide energy range. From the application of artificial neural network (ANN) algorithm in spectrum unfolding, its accuracy is difficult to be improved for lacking of enough effective training data. In this paper, an adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning was developed. The model of ANN was trained with thousands of neutron spectra generated with Monte Carlo transport calculation to construct a coarse-grained unfolded spectrum. In order to improve the accuracy of the unfolded spectrum, results of the previous ANN model combined with some specific eigenvalues of the current system were put into the dataset for training the deeper ANN model, and fine-grained unfolded spectrum could be achieved through the deeper ANN model. The method could realize accurate spectrum unfolding while maintaining universality, combined with detectors covering wide energy range, it could improve the accuracy of spectrum measurement methods for wide energy range. This method was verified with a fast neutron reactor BN-600. The mean square error (MSE), average relative deviation (ARD) and spectrum quality (Qs) were selected to evaluate the final results and they all demonstrated that the developed method was much more precise than traditional spectrum unfolding methods. (C) 2020 Korean Nuclear Society, Published by Elsevier Korea LLC.
WOS关键词ARTIFICIAL NEURAL-NETWORK ; SPECTROMETRY
资助项目Young Elite Scientists Sponsorship Program by CAST[2017QNRC001] ; Informatization Project of Chinese Academy of Sciences[XXH13506-104] ; Project of Hefei Institutes of Physical Science, Chinese Academy of Sciences[KP-2019-13]
WOS研究方向Nuclear Science & Technology
语种英语
WOS记录号WOS:000567837500005
出版者KOREAN NUCLEAR SOC
资助机构Young Elite Scientists Sponsorship Program by CAST ; Informatization Project of Chinese Academy of Sciences ; Project of Hefei Institutes of Physical Science, Chinese Academy of Sciences
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/104494]  
专题中国科学院合肥物质科学研究院
通讯作者Gan, Quan
作者单位1.Chinese Acad Sci, Key Lab Neutron & Radiat Safety, Anhui Prov Key Lab Neutron Phys & Control Technol, Inst Nucl Energy Safety Technol, Hefei 230031, Anhui, Peoples R China
2.Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China
推荐引用方式
GB/T 7714		 Cao, Chenglong,Gan, Quan,Song, Jing,et al. An adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning[J]. NUCLEAR ENGINEERING AND TECHNOLOGY,2020,52.
APA Cao, Chenglong.,Gan, Quan.,Song, Jing.,Yang, Qi.,Hu, Liqin.,...&Zhou, Tao.(2020).An adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning.NUCLEAR ENGINEERING AND TECHNOLOGY,52.
MLA Cao, Chenglong,et al."An adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning".NUCLEAR ENGINEERING AND TECHNOLOGY 52(2020).

入库方式： OAI收割

来源：合肥物质科学研究院

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