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Research on adaptive RBF neural network prediction method for core thermal-hydraulic parameters of fast reactor
NUCLEAR ENERGY SCIENCE AND ENGINEERING | 更新时间：2024-10-25
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    • Research on adaptive RBF neural network prediction method for core thermal-hydraulic parameters of fast reactor

      封面论文
    • “According to the latest research, adaptive radial basis function neural networks have shown excellent performance in predicting thermal parameters of reactor cores, providing strong guarantees for the safe operation of nuclear power plants.”
    • NUCLEAR TECHNIQUES   Vol. 45, Issue 9, Article number: 090601(2022)

    • DOI：10.11889/j.0253-3219.2022.hjs.45.090601    

      CLC： TL433

    • Received：18 April 2022，

      Revised：26 June 2022，

      Published：15 September 2022

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  • JI Nan,YI Jinhao,ZHAO Pengcheng,et al.Research on adaptive RBF neural network prediction method for core thermal-hydraulic parameters of fast reactor[J].NUCLEAR TECHNIQUES,2022,45(09):65-74. DOI： 10.11889/j.0253-3219.2022.hjs.45.090601.

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Related Author

Nan JI
Jinhao YI
Pengcheng ZHAO
于涛
CHUN Siqi
FENG Huan
ZHANG Anni
ZHANG Jinquan

Related Institution

School of Resources Environment and Safety Engineering, University of South China
School of Computer Science, University of South China
China Institute of Atomic Energy
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