Stimulus processing and unsupervised learning in autonomously active recurrent networks.
Claudius GrosGregor KaczorPublished in: ESANN (2009)
Keyphrases
- unsupervised learning
- recurrent networks
- recurrent neural networks
- feed forward
- biologically inspired
- data processing
- supervised learning
- dimensionality reduction
- information processing
- reinforcement learning
- neural network
- database
- processing capabilities
- real time
- mobile robot
- semi supervised
- control system
- model selection
- object recognition
- information retrieval
- efficient processing
- deep learning