A neural network-based method for measuring the activity of waste drum
“In the field of radioactive waste measurement, researchers have proposed a new activity measurement method based on neural networks, which greatly improves measurement accuracy and shortens time, providing technical support for the measurement of low and medium level radioactive solid waste.”
SHU Minxiang, male, born in 2000, graduated from Harbin Institute of Technology in 2021, master student, focusing on radiation detection and protection
SHU Minxiang,SHAN Chenyu,GU Weiguo,et al.A neural network-based method for measuring the activity of waste drum[J]. NUCLEAR TECHNIQUES,2023,46(12):120501.
SHU Minxiang,SHAN Chenyu,GU Weiguo,et al.A neural network-based method for measuring the activity of waste drum[J]. NUCLEAR TECHNIQUES,2023,46(12):120501. DOI: 10.11889/j.0253-3219.2023.hjs.46.120501.
A neural network-based method for measuring the activity of waste drum