Machine learning on-a-chip: A high-performance low-power reusable neuron architecture for artificial neural networks in ECG classifications.
Yuwen SunAllen C. ChengPublished in: Comput. Biol. Medicine (2012)
Keyphrases
- low power
- signal processor
- artificial neural networks
- low power consumption
- machine learning
- cmos technology
- high speed
- low cost
- single chip
- mixed signal
- power consumption
- nm technology
- vlsi architecture
- signal processing
- neural network
- embedded dram
- cmos image sensor
- high power
- vlsi circuits
- image sensor
- wireless transmission
- digital signal processing
- logic circuits
- neural models
- power management
- power dissipation
- real time
- multi channel
- gate array
- ultra low power
- low voltage
- neural network model
- genetic algorithm
- data flow
- energy efficiency
- associative memory
- general purpose