Development and analysis of a K-nearest-neighbor-based transient identification model for molten salt reactor systems
NUCLEAR ENERGY SCIENCE AND ENGINEERING|更新时间:2024-10-25
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Development and analysis of a K-nearest-neighbor-based transient identification model for molten salt reactor systems
“In the field of nuclear energy systems, experts have established a transient identification model for molten salt reactor systems based on KNN, effectively improving operational safety.”
ZHOU Tianze, male, born in 2000, graduated from North China Electric Power University in 2020, master student, focusing on applications of machine learning in nuclear industry
ZHOU Tianze,YU Kaicheng,CHENG Maosong,et al.Development and analysis of a K-nearest-neighbor-based transient identification model for molten salt reactor systems[J].NUCLEAR TECHNIQUES,2023,46(11):110604.
ZHOU Tianze,YU Kaicheng,CHENG Maosong,et al.Development and analysis of a K-nearest-neighbor-based transient identification model for molten salt reactor systems[J].NUCLEAR TECHNIQUES,2023,46(11):110604. DOI: 10.11889/j.0253-3219.2023.hjs.46.110604.
Development and analysis of a K-nearest-neighbor-based transient identification model for molten salt reactor systems