Neural Network Estimations for Stopping Power, Radiation Yield, CSDA Range and Density Effect Parameter for Electrons

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AKKOYUN S., BAYRAM T.

RAD2017-Fifth International Conference on Radiation and Applications in Various Fields of Research, 12 - 16 June 2017, pp.249

• Publication Type: Conference Paper / Summary Text
• Page Numbers: pp.249
• Karadeniz Technical University Affiliated: No

Abstract

In this work, stopping power, radiation yield, CSDA range and density effect parameter values in various absorbing materials for the electrons have been estimated by using artificial neural networks. According to the results, the estimations are in consistent with the available theoretical values calculated by using computer program. The root mean square errors are in the order of about 0.005 MeV.