Cite
HARVARD Citation
Wielgosz, M. et al. (2018). The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. Engineering applications of artificial intelligence. pp. 166-185. [Online].
This is an interim version of our Electronic Legal Deposit Catalogue-eJournals and eBooks while we continue to recover from a cyber-attack.
Wielgosz, M. et al. (2018). The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. Engineering applications of artificial intelligence. pp. 166-185. [Online].