Energy efficient spiking neural network processing using approximate arithmetic units and variable precision weights.
Yi WangHao ZhangKwang-Il OhJae-Jin LeeSeok-Bum KoPublished in: J. Parallel Distributed Comput. (2021)
Keyphrases
- energy efficient
- variable precision
- wireless sensor networks
- energy consumption
- spiking neural networks
- sensor networks
- decision table
- biologically inspired
- knowledge structures
- routing protocol
- rough sets
- set valued
- reduction method
- base station
- knowledge base
- decision trees
- computer vision
- learning rules
- feature selection
- data transmission
- energy efficiency
- decision making
- real time
- routing algorithm
- sensor nodes
- visual processing
- biologically plausible
- fuzzy sets
- motor control
- reinforcement learning
- spiking neurons
- neural network