Advance Search
Volume 40 Issue 1
Feb.  2019
Turn off MathJax
Article Contents
Ren Lixue, Liu Zhigui, Zhou Zhiru. Determination for 235U Enrichments of Same Geometry and Mass Uranium Components by BP Neural Network[J]. Nuclear Power Engineering, 2019, 40(1): 48-50. doi: 10.13832/j.jnpe.2019.01.0048
Citation: Ren Lixue, Liu Zhigui, Zhou Zhiru. Determination for 235U Enrichments of Same Geometry and Mass Uranium Components by BP Neural Network[J]. Nuclear Power Engineering, 2019, 40(1): 48-50. doi: 10.13832/j.jnpe.2019.01.0048

Determination for 235U Enrichments of Same Geometry and Mass Uranium Components by BP Neural Network

doi: 10.13832/j.jnpe.2019.01.0048
  • Publish Date: 2019-02-15
  • To identify metal uranium components with same geometry and mass but different enrichments, 252Cf source noise analysis was used to gain the neutron time correlation coincidence measurement. Based on the analysis and processing of neutron time correlation coincidence measurement, the characteristic parameters are determined. Through the method of BP neural network, we determined the 235U enrichments of same geometry and mass but different enrichments uranium components. Result shows that by the method of BP neural network, we can diagnose the 235U enrichments effectively.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (201) PDF downloads(2) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return