Automatic Design of Artificial Neural Networks for Gamma-Ray Detection

Automatic Design of Artificial Neural Networks for Gamma-Ray Detection

The goal of this work is to investigate the possibility of improving current gamma/hadron discrimination based on the shower patterns recorded on the ground. To this end, we propose the use of Convolutional Neural Networks (CNNs) for their ability to distinguish patterns based on automatically desig...

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Bibliographic Details
Main Authors: Filipe Assuncao, Joao Correia, Ruben Conceicao, Mario Joao Martins Pimenta, Bernardo Tome, Nuno Lourenco, Penousal Machado
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
evolutionary computation
Gamma-ray detection
Online Access:https://ieeexplore.ieee.org/document/8792060/

Internet

https://ieeexplore.ieee.org/document/8792060/

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