Neutron/gamma (n/γ) discrimination method based on KPCA-MPA-ELM
NUCLEAR ELECTRONICS AND INSTRUMENTATION|更新时间:2024-10-25
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Neutron/gamma (n/γ) discrimination method based on KPCA-MPA-ELM
“In the field of neutron detection, researchers have proposed a machine learning discrimination method that combines KPCA, MPA, and ELM, significantly improving the efficiency of n/γ discrimination. The experimental results show that the average discrimination accuracy of this method is as high as 99.07%, providing an efficient solution for neutron detection.”
HU Wanping, male, born in 1997, graduated from Chengdu Neusoft University in 2020, master student, focusing on nuclear detection technology
ZHANG Guiyu, E-mail: gyz_118@163.com
基金信息:
National Natural Science Foundation of China(42004151;42074218);Postgraduate Innovation Fund Project of Sichuan University of Science and Engineering(Y2022117)
HU Wanping,ZHANG Guiyu,ZHANG Yunlong,et al.Neutron/gamma (n/γ) discrimination method based on KPCA-MPA-ELM[J]. NUCLEAR TECHNIQUES,2024,47(04):040403. DOI: 10.11889/j.0253-3219.2024.hjs.47.040403.
Neutron/gamma (n/γ) discrimination method based on KPCA-MPA-ELM