Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets.
Maciej WielgoszAndrzej SkoczenMatej MertikPublished in: CoRR (2016)
Keyphrases
- recurrent neural networks
- detecting anomalous
- magnetic field
- long short term memory
- complex valued
- anomaly detection
- intrusion detection
- feed forward
- neural network
- recurrent networks
- echo state networks
- artificial neural networks
- neural model
- reservoir computing
- network traffic
- feedforward neural networks
- cascade correlation
- expert systems
- object recognition
- information systems