Influence of Recognition Performance on Recurrent Neural Network Using Phase-Change Memory as Synapses.
Tomohiro TakahashiKazuteru NambaPublished in: ICCE-TW (2020)
Keyphrases
- recurrent neural networks
- hebbian learning
- neural network
- complex valued
- recurrent networks
- reservoir computing
- object recognition
- neural model
- artificial neural networks
- feed forward
- hidden layer
- recognition accuracy
- associative memory
- neural models
- recognition rate
- memory requirements
- echo state networks
- long short term memory
- feature extraction
- machine learning
- feedforward neural networks
- pattern recognition
- action recognition
- nonlinear dynamic systems
- recognition algorithm
- real time
- semi supervised
- learning phase
- decision making
- learning algorithm
- training phase
- network model