Classification Performances due to Asymmetric Nonlinear Weight Updates in Analog Artificial Synapse-Based Hardware Neural Networks.
Yeon PyoSahn NahmJichai JeongPublished in: BCI (2022)
Keyphrases
- classification performances
- neural network
- synaptic weights
- floating gate
- weight update
- feature selection
- learning rules
- digital computer
- vlsi architecture
- digital circuits
- circuit design
- artificial neural networks
- low cost
- biologically plausible
- neural network model
- auto associative
- nonlinear dynamics
- nonlinear dynamic systems
- real time
- nonlinear functions
- computer systems
- cellular neural networks
- hardware and software
- fuzzy logic
- adaptive neural
- pattern recognition
- fault diagnosis
- recurrent neural networks
- real world
- self organizing maps
- neural nets
- analog circuits
- biologically inspired
- hardware implementation
- neural network controller
- lateral inhibition
- input pattern
- neural model
- network architecture
- embedded systems
- radial basis function
- high speed