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Research on digital radiography classification learning method based on simulation data
ACCELERATOR, RAY TECHNOLOGY AND APPLICATIONS | 更新时间：2024-10-25
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    • Research on digital radiography classification learning method based on simulation data

    • “In the field of industrial radiation imaging, a classification learning training set was established through numerical simulation methods, and the bag tree method achieved prediction accuracies of 99.6% and 81.25% for simulated and actual data, respectively.”
    • NUCLEAR TECHNIQUES   Vol. 42, Issue 3, (2019)

    • DOI：10.11889/j.0253-3219.2019.hjs.42.030202    

      CLC： TL99

    • Received：20 December 2018，

      Revised：22 January 2019，

      Published：10 March 2019

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  • CHEN Xuerui,ZHAO Zhongwei,SUN Yuewen,et al.Research on digital radiography classification learning method based on simulation data[J].NUCLEAR TECHNIQUES,2019,42(03):1-8. DOI： 10.11889/j.0253-3219.2019.hjs.42.030202.

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