2023
DOI: 10.3389/fenrg.2023.1151364
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Validation of the neural network for 3D photon radiation field reconstruction under various source distributions

Abstract: Introduction: This paper proposes a five-layer fully connected neural network for predicting radiation parameters in a radiation space based on detector readings.Methods: The network is trained and tested using gamma flux values from individual detector positions as input, and is used to predict the gamma radiation field in 3D space under different source term distributions. The method is evaluated using the mean percentage change error (PCT) for the test set under different source term distributions.Results: … Show more

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