Uncertainty quantification methodology for model parameters in sub-channel codes using MCMC sampling
NUCLEAR ENERGY SCIENCE AND ENGINEERING|更新时间:2024-10-25
|
Uncertainty quantification methodology for model parameters in sub-channel codes using MCMC sampling
“In the field of uncertainty analysis, experts have established a quantitative uncertainty analysis method applicable to sub channel programs using BP neural networks and MCMC sampling.”
HE Xin, female, born in 2000, graduated from Harbin Institute of Technology in 2021, master student, focusing on uncertainty analysis of subchannel program
SONG Meiqi, E-mail: songmeiqi@sjtu.edu.cn
LIU Xiaojing, E-mail: xiaojingliu@sjtu.edu.cn
基金信息:
National Natural Science Foundation of China(U20B2011)
HE Xin,SONG Meiqi,LIU Xiaojing.Uncertainty quantification methodology for model parameters in sub-channel codes using MCMC sampling[J].NUCLEAR TECHNIQUES,2023,46(12):120602.
HE Xin,SONG Meiqi,LIU Xiaojing.Uncertainty quantification methodology for model parameters in sub-channel codes using MCMC sampling[J].NUCLEAR TECHNIQUES,2023,46(12):120602. DOI: 10.11889/j.0253-3219.2023.hjs.46.120602.
Uncertainty quantification methodology for model parameters in sub-channel codes using MCMC sampling