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Study of Deuteron Separation Energy Based on Bayesian Neural Network Approach

XING Kang LIANG Yan SUN Xiaojun

原子能科学技术2023，Vol.57Issue(4)：721-728,8.

原子能科学技术2023，Vol.57Issue(4)：721-728,8.DOI:10.7538/yzk.2022.youxian.0858

XING Kang ¹LIANG Yan ¹SUN Xiaojun¹

作者信息

1. College of Physics and Technology,Guangxi Normal University,Guilin 541004,China||Guangxi Key Laboratory of Nuclear Physics and Technology,Guangxi Normal University,Guilin 541004,China
折叠

Bayesian neural network/deuteron separation energy/pair and shell effects

Bayesian neural network/deuteron separation energy/pair and shell effects

数理科学

XING Kang,LIANG Yan,SUN Xiaojun..Study of Deuteron Separation Energy Based on Bayesian Neural Network Approach[J].原子能科学技术,2023,57(4):721-728,8.

Supported by National Natural Science Foundation of China(12065003) （12065003）

Central Government Guidance Funds for Local Scientific and Technological Development of China(Guike ZY22096024) （Guike ZY22096024）

Natural Science Foundation of Guangxi(2019GXNSFDA185011) （2019GXNSFDA185011）

Scientific Research and Technology Development Project of Guilin(20210104-2) （20210104-2）

OA北大核心CSCDCSTPCD

ISSN：1000-6931

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