Improvement of the Bayesian neural network to study the photoneutron yield cross sections

Improvement of the Bayesian neural network to study the photoneutron yield cross sections
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改进贝叶斯神经网络研究光中子产额截面

DOI:
10.1007/s41365-022-01131-w
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发表时间:
2022-11
影响因子:
2.8
通讯作者:
Jun Su
Jun Su
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Yong-Yi Li;Fan Zhang;Jun Su

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本文试图改进贝叶斯神经网络(BNN),用于研究光中子产额截面随电荷数Z、质量数A和入射能量ε的变化关系
This work is an attempt to improve the Bayesian neural network (BNN) for studying photoneutron yield cross sections as a function of the charge number Z, mass number A, and incident energy ε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wa
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