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Combined neural network-based transient thermal hydraulic parameter prediction method for fast reactor core
NUCLEAR ENERGY SCIENCE AND ENGINEERING | 更新时间：2025-06-17

    • Combined neural network-based transient thermal hydraulic parameter prediction method for fast reactor core

      封面论文
    • “The latest research utilizes EMD-SSA-RBF combined neural network to improve the accuracy of reactor thermal parameter prediction, reduce errors, shorten calculation time, and have reference value for engineering application safety.”
    • NUCLEAR TECHNIQUES   Vol. 48, Issue 4, Article number: 040601(2025)

    • DOI：10.11889/j.0253-3219.2025.hjs.48.230421    

      CLC： TL433

    • Received：13 December 2023，

      Revised：13 January 2024，

      Published：15 April 2025

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  • ZHAO Ziyan,ZHAO Pengcheng,LIU Zijing,et al.Combined neural network-based transient thermal hydraulic parameter prediction method for fast reactor core[J].NUCLEAR TECHNIQUES,2025,48(04):040601. DOI： 10.11889/j.0253-3219.2025.hjs.48.230421. CSTR： 32193.14.hjs.CN31-1342/TL.2025.48.230421.

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Related Author

YU Tao
LIU Zijng
ZHAO Pengcheng
ZHANG Anni
FENG Huan
CHUN Siqi
JI Nan
YI Jinhao

Related Institution

School of Computer Science, University of South China
School of Resources Environment and Safety Engineering, University of South China
Cooperative Innovation Center for Nuclear Fuel Cycle Technology and Equipment, University of South China
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