Surrogate Model of Predicting Eigenvalue and Power Distribution by Convolutional Neural Network

Surrogate Model of Predicting Eigenvalue and Power Distribution by Convolutional Neural Network

During loading pattern (LP) optimization and reactor design, a lot of time consumption spent on evaluation is one of the key issues. In order to solve this issue, the surrogate models are investigated in this paper. The convolutional neural network (CNN) and fully convolutional network (FCN) are ado...

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Bibliographic Details
Main Authors: Jinchao Zhang, Yufeng Zhou, Qian Zhang, Xiang Wang, Qiang Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Energy Research
Subjects:
surrogate model
convolutional neural network
reactor design
eigenvalue prediction
power distribution prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.851231/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.851231/full

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