NILRNN: A Neocortex-Inspired Locally Recurrent Neural Network for Unsupervised Feature Learning in Sequential Data.
Franz A. Van-HorenbekeAngelika PeerPublished in: Cogn. Comput. (2023)
Keyphrases
- sequential data
- recurrent neural networks
- unsupervised feature learning
- deep learning
- higher order
- hidden markov models
- feed forward
- neural network
- fixed length
- sequential patterns
- sequence data
- recurrent networks
- biologically inspired
- sequential pattern mining
- complex valued
- reservoir computing
- pattern discovery
- echo state networks
- pattern mining
- spatio temporal
- artificial neural networks
- unsupervised learning
- multi dimensional
- variable length
- data mining
- fuzzy logic
- feature vectors
- pairwise
- video sequences
- computer vision
- genetic algorithm
- neural network structure
- machine learning