Gaussian Process Based Prediction of Density Distribution in Core of Research Nuclear Reactor

被引：0
|
作者：
N. V. Smolnikov [1 ]
M. N. Anikin [1 ]
A. G. Naimushin [1 ]
I. I. Lebedev [1 ]
机构：
[1] National Research Tomsk Polytechnic University,
来源：
Moscow University Physics Bulletin | 2024年 / 79卷 / Suppl 2期
关键词：
power density distribution; nuclear research reactor; IRT-T reactor; MCU-PTR; machine learning; supervised learning; gaussian process;
D O I：
10.3103/S0027134924702394
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：S935 / S943
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