The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization

1 code implementation • 28 Sep 2017 • Maciej Wielgosz, Matej Mertik, Andrzej Skoczeń, Ernesto De Matteis

In order to conduct the experiments, the authors designed and implemented an adaptive signal quantization algorithm and a custom GRU-based detector and developed a method for the detector parameters selection.

Anomaly Detection Quantization