Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response.
Severin SidlerIrem BoybatRobert M. ShelbyPritish NarayananJun-Woo JangAlessandro FumarolaKibong MoonYusuf LeblebiciHyunsang HwangGeoffrey W. BurrPublished in: ESSDERC (2016)
Keyphrases
- neural network
- feed forward
- main memory
- learning rules
- pattern recognition
- weight update
- small scale
- artificial neural networks
- back propagation
- synaptic weights
- real life
- computing power
- data storage
- hebbian learning
- memory requirements
- neural nets
- working memory
- genetic algorithm
- real world
- memory space
- spiking neurons
- multilayer perceptron
- weighting scheme
- multi layer
- recurrent neural networks
- database
- neural network model
- input data
- fuzzy logic
- data sets