Cutting edge of application of AI technology to PRA, 3; Advancement of approaches to dynamic PRA and uncertainty quantification using machine learning

Zheng, X. ; Tamaki, Hitoshi ; Shibamoto, Yasuteru ; Maruyama, Yu

no abstracts in English

Language	:	Japanese
Journal	:	Nihon Genshiryoku Gakkai-Shi ATOMO
Volume	:	66
Number	:	11
Pages	:	p.565 - 569
Publication Year/Month	:	2024/11
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Paper URL	:	https://doi.org/10.3327/jaesjb.66.11_565
DOI for research data	:	Link to research data related to this paper/report.
Keywords	:	Artificial Intelligence; Machine Learning; Dynamic Probabilistic Risk Assessment; Uncertainty Quantification; Surrogate Model; Multi-Fidelity Simulation; RAPID
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Cooperating Institute	:	原子力規制庁

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Registration No. : AA20240250
JAEA Abstracts No. : 53000605
Paper Submission No. : 29400

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