Radionuclide identification method of two-dimensional convolutional neural network based on nuclear pulse peak sequence
“In the field of nuclide recognition, experts have proposed a nuclide recognition method based on 2D-CNN, which effectively improves the recognition speed and performance at low counting rates.”
LUO Geng, male, born in 1997, graduated from Southwest University of Science and Technology in 2022, master student, focusing on nuclear technology and application
SHI Rui, E-mail: shirui@suse.edu.cn
TUO Xianguo, E-mail: tuoxianguo@suse.edu.cn
基金信息:
National Natural Science Foundation of China(42074218;42374227);the Key Project of Sichuan Higher Education Talent Training Quality and Teaching Reform(JG2024-0907)
LUO Geng,SHI Rui,ZENG Shuxin,et al.Radionuclide identification method of two-dimensional convolutional neural network based on nuclear pulse peak sequence[J].NUCLEAR TECHNIQUES,2025,48(03):030502-030502.