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Reliability analysis of a lead-bismuth cooled passive system based on an active learning BR-ARS-BP neural network surrogate model
NUCLEAR ENERGY SCIENCE AND ENGINEERING | 更新时间：2026-05-28

    • Reliability analysis of a lead-bismuth cooled passive system based on an active learning BR-ARS-BP neural network surrogate model

    • NUCLEAR TECHNIQUES   Vol. 49, Issue 4, Article number: 040601(2026)

    • DOI：10.3724/j.0253-3219.2026.hjs.49.250207    

      CLC： TL433

    • Received：18 May 2025，

      Revised：2025-09-11，

      Published：15 April 2026

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  • LI Feiyang,ZENG Youwei,ZHAO Pengcheng,et al.Reliability analysis of a lead-bismuth cooled passive system based on an active learning BR-ARS-BP neural network surrogate model[J].NUCLEAR TECHNIQUES,2026,49(04):129-139. DOI： 10.3724/j.0253-3219.2026.hjs.49.250207. CSTR： 32193.14.hjs.CN31-1342/TL.2026.49.250207.

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