• 제목/요약/키워드: Radionuclides

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Optimization of Artificial Neural Network Model in Scaling Factor Determination Method

  • Lee, Sang-Chul;Hwang, Ki-Ha;Kang, Sang-Hee;Lee, Kun-Jai
    • 한국방사성폐기물학회:학술대회논문집
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    • 한국방사성폐기물학회 2004년도 학술논문집
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    • pp.254-254
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    • 2004
  • Final disposal of radioactive waste generated from Nuclear Power Plant (NPP) requires the detailed information about the characteristics and the quantities of radionuclides in waste package. Most radionuclides are difficult to measure and expensive to assay. Thus it is suggested to the indirect method by which the concentration of the Difficult-to-Measure (DTM) nuclide is estimated using the correlations of concentration-it is called the scaling factor-between Easy-to-Measure (Key) nuclides and DTM nuclides with the measured concentration of the Key nuclide.(omitted)

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