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Application of lightweight neural network models for nuclear pulse parameter prediction
NUCLEAR PHYSICS, INTERDISCIPLINARY RESEARCH | 更新时间：2025-01-07
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    • Application of lightweight neural network models for nuclear pulse parameter prediction

    • “In the field of nuclear radiation measurement, researchers have proposed a new method for predicting distorted pulse parameters using six lightweight neural network models, among which the UNet model performs the best, providing new ideas for improving spectral resolution performance.”
    • NUCLEAR TECHNIQUES   Vol. 47, Issue 11, Article number: 110502(2024)

    • DOI：10.11889/j.0253-3219.2024.hjs.47.110502    

      CLC： O657.34

    • Received：13 June 2024，

      Revised：16 July 2024，

      Published：15 November 2024

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  • TANG Lin,ZHOU Shuang,LIAO Xianli,et al.Application of lightweight neural network models for nuclear pulse parameter prediction[J].NUCLEAR TECHNIQUES,2024,47 (11):110502. DOI： 10.11889/j.0253-3219.2024.hjs.47.110502. CSTR： 32193.14.hjs.CN31-1342/TL.2024.47.110502.

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