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Journal of Radioanalytical and Nuclear Chemistry

, Volume 283, Issue 2, pp 403–407 | Cite as

Combined application of Monte Carlo method and neural networks to simulate qualitative prompt gamma neutron activation analysis

  • V. Doostmohammadi
  • D. Sardari
  • A. M. Nasrabadi
Article

Abstract

Prompt gamma spectrum produced by thermal neutron absorption and fast neutron inelastic scattering is simulated using Monte Carlo code MCNP4C. The simulated spectrum is analyzed with artificial neural network techniques. The neural network in our study is trained based on back-propagation algorithm with 138 gamma ray spectra. Elements existing in the 20 different substances are specified. The ANN could identify elements correctly in 96% of input cases.

Keywords

Gamma-ray spectroscopy Neutron activation analysis Monte Carlo Neural network 

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2009

Authors and Affiliations

  • V. Doostmohammadi
    • 1
  • D. Sardari
    • 1
  • A. M. Nasrabadi
    • 2
  1. 1.Faculty of Engineering, Science and Research BranchIslamic Azad University TehranTehranIran
  2. 2.Department of Biomedical Engineering, Faculty of EngineeringShahed UniversityTehranIran

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