- Tytuł:
- Prediction Primary Radiation Shielding Wall Thickness with Artificial Neural Networks
- Autorzy:
-
Akkaş, A.
Başyiğit, C.
Necip Kurtarici, M. - Powiązania:
- https://bibliotekanauki.pl/articles/1399661.pdf
- Data publikacji:
- 2013-02
- Wydawca:
- Polska Akademia Nauk. Instytut Fizyki PAN
- Tematy:
-
28.41.Qb
84.35.+i - Opis:
- 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.
- Źródło:
-
Acta Physica Polonica A; 2013, 123, 2; 171-172
0587-4246
1898-794X - Pojawia się w:
- Acta Physica Polonica A
- Dostawca treści:
- Biblioteka Nauki
Artykuł