ACCELERATION - Automatic Artificial Neural Networks for Gamma-Ray Detection
Description
This project results from a collaboration between CMS, ECOS, and the Laboratory of Instrumentation and Experimental Particle Physics. The goal is to automate the search for Artificial Neural Networks for Gamma-Ray detection, based on their ground impact patterns.
Researchers
Partners
Laboratório de Instrumentação e Física Experimental de Partículas (LIP)
Keywords
Automated Machine Learning, NeuroEvolution, Artificial Neural Networks
Start Date
2018-10-01
End Date
2021-12-01
Journal Articles
2019
(1 publication) - Assunção, F. and Correia, J. and Conceição, R. and Pimenta, M.J.M. and Tomé, B. and Lourenço, Nuno and Penousal Machado , "Automatic Design of Artificial Neural Networks for Gamma-Ray Detection", IEEE Access, vol. 7, pp. 110531-110540, 2019