Prediction Primary Radiation Shielding Wall Thickness with Artificial Neural Networks

Akkas A., BAŞYİĞİT C. , Kurtarici M. N.

ACTA PHYSICA POLONICA A, vol.123, no.2, pp.171-172, 2013 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 123 Issue: 2
  • Publication Date: 2013
  • Doi Number: 10.12693/aphyspola.123.171
  • Title of Journal : ACTA PHYSICA POLONICA A
  • Page Numbers: pp.171-172


In this study, wall thickness for using in primary radiation shielding was determined in different energy ranges using tenth value layer by artificial neural networks. Radiation energy values, tenth value layers and negative logarithm of transmission factor (n) were selected as input parameters and wall shielding thickness values selected as output parameters. Consequently, developed artificial neural networks model outputs were compared with experimental results and it was seen that the results were harmonious. DOI: 10.12693/APhysPolA.123.171