most citedRecurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets

7 citations · 7 across the 1 of their papers we have counts for

collaborators

1 paper

physics.ins-det2017★ 7 cited

Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets

Maciej Wielgosz, Andrzej Skoczeń, Matej Mertik

This paper presents a model based on Deep Learning algorithms of LSTM and GRU for facilitating an anomaly detection in Large Hadron Collider superconducting magnets. We used high r…