Application of multi-head attention mechanism with embedded positional encoding in amplitude estimation of stacked pulses
“In the field of X-ray fluorescence spectroscopy analysis, experts have proposed a Transformer model based on deep learning, which achieves accurate estimation of stacked pulse amplitude and provides a solution for spectral analysis.”
TANG Lin, female, born in 1988, graduated from Chengdu University of Technology with a doctoral degree in 2019, associate professor, visiting scholar of Nanyang Technological University, Singapore, focusing on nuclear radiation detection and electronics
LIAO Xianli, E-mail: liaoxianli@cdu.edu.cn
基金信息:
National Natural Science Youth Foundation of China(12305214);the Sichuan Natural Science Youth Fund Project(2023NSFSC1366);the Open Research Fund of National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University(AE202209);the Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security(MIMS22-04)
TANG Lin,ZHOU Shuang,LI Yong,et al.Application of multi-head attention mechanism with embedded positional encoding in amplitude estimation of stacked pulses[J].NUCLEAR TECHNIQUES,2023,46(09):090505.