Recognition Network of Catenary Dropper State based on Memory-enhanced Convolutional Autoencoder.
Zhijun ZhangWeidong JinPeng TangPublished in: ICSPCC (2021)
Keyphrases
- state information
- recognition rate
- object recognition
- network architecture
- automatic recognition
- network structure
- recognition accuracy
- feature extraction
- pattern recognition
- peer to peer
- memory requirements
- complex networks
- memory space
- data transfer
- state space
- memory usage
- wireless sensor networks
- gait recognition
- network management
- recognition process
- visual recognition
- activity recognition
- communication networks
- human activities
- unsupervised learning