A stacked autoencoder-based convolutional and recurrent deep neural network for detecting cyberattacks in interconnected power control systems.
Gianni D'AngeloFrancesco PalmieriPublished in: Int. J. Intell. Syst. (2021)
Keyphrases
- neural network
- control system
- deep learning
- restricted boltzmann machine
- recurrent neural networks
- feed forward
- network architecture
- deep belief networks
- artificial neural networks
- hidden layer
- back propagation
- unsupervised feature learning
- recurrent networks
- neural network model
- genetic algorithm
- feedforward neural networks
- automatic detection
- fuzzy logic
- power consumption
- radial basis function
- rbf neural network
- neural network is trained
- real time
- training process
- fuzzy neural network
- self organizing maps
- unsupervised learning
- bp neural network
- prediction model
- reactive power
- fermentation process