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

Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, Ernesto De Matteis. The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. Eng. Appl. of AI, 74:166-185, 2018. [doi]

Authors

Maciej Wielgosz

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Matej Mertik

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Andrzej Skoczen

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Ernesto De Matteis

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