Simulating the response of ionization chamber system to 137Cs irradiator using the artificial neural network modeling algorithm

The artificial neural network algorithm has been used to simulate the response of an ionization chamber dosimetric system to the 137 Cs irradiator facility at the National Institute for Standards, Egypt. The performance of the designed model has been investigated over different processes functions a...

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Bibliographic Details
Published inSN applied sciences Vol. 2; no. 8; p. 1325
Main Author Sadek, A. M.
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.08.2020
Springer Nature B.V
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ISSN2523-3963
2523-3971
2523-3971
DOI10.1007/s42452-020-3111-7

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Summary:The artificial neural network algorithm has been used to simulate the response of an ionization chamber dosimetric system to the 137 Cs irradiator facility at the National Institute for Standards, Egypt. The performance of the designed model has been investigated over different processes functions and a wide range of parameters till the optimum performance has been approached. The standard uncertainty of the designed model has been evaluated for different dose-rate levels. It has been found that the dose-rate can be evaluated using the designed model with an uncertainty < 2.0% for the dose-rate level < 10 2 mGy/h and with an uncertainty < 0.5% for the dose-rate level [ 10 2 - 10 3 ] mGy/h . The bias of the designed model has been evaluated and compared with the usual interpolation algorithms. The errors in the evaluated dose-rate using these methods have exceeded the 100% error level and approached the 20% error level for the dose rates less and greater than 10 mGy/h , respectively. While, the error in the evaluated dose-rate using the designed model did not exceed 7% and 2% for the same dose-rate levels, respectively.
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ISSN:2523-3963
2523-3971
2523-3971
DOI:10.1007/s42452-020-3111-7