NUCLEAR TECHNIQUES, Volume. 47, Issue 1, 010603(2024)

Method of predicting transient thermal hydraulic parameters of the core based on the gated recurrent unit model of soft attention

Siqi CHUN1, Huan FENG3, Anni ZHANG4, and Pengcheng ZHAO1,2、*
Author Affiliations
  • 1School of Nuclear Science and Technology, University of South China, Hengyang 421001, China
  • 2Cooperative Innovation Center for Nuclear Fuel Cycle Technology and Equipment, University of South China, Hengyang 421001, China
  • 3School of Resources Environment and Safety Engineering, University of South China, Hengyang 421001, China
  • 4School of Computer Science, University of South China, Hengyang 421001, China
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    References(22)

    [2] JIAO Wei. Application of machine learning algorithm in rapid prediction of multiphase thermal-hydraulic parameters[D](2022).

    [5] CHEN Hanying. Study on working condition prediction and diagnosis method of thermal hydraulic system in nuclear power plant[D](2018).

    [13] TAN Xin. Research on harmonic current detection and suppression technology based on RBF neural network[D](2022).

    [14] Rana R. Gated recurrent unit (GRU) for emotion classification from noisy speech[EB/OL]. arXiv preprint arXiv(2016).

    [16] CHEN Xianbing. Study of simulated coupled neutronic-thermo-hydraulic low pressure natural circulation flow instability[D](2019).

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    Siqi CHUN, Huan FENG, Anni ZHANG, Pengcheng ZHAO. Method of predicting transient thermal hydraulic parameters of the core based on the gated recurrent unit model of soft attention[J]. NUCLEAR TECHNIQUES, 2024, 47(1): 010603

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    Paper Information

    Category: Research Articles

    Received: May. 29, 2023

    Accepted: --

    Published Online: Mar. 7, 2024

    The Author Email: ZHAO Pengcheng (赵鹏程)

    DOI:10.11889/j.0253-3219.2024.hjs.47.010603

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