A FPGA-based Hardware Accelerator for Bayesian Confidence Propagation Neural Network.
Lizheng LiuDeyu WangYuning WangAnders LansnerAhmed HemaniYu YangXiaoming HuZhuo ZouLirong ZhengPublished in: NorCAS (2020)
Keyphrases
- field programmable gate array
- neural network
- hardware implementation
- hardware architecture
- embedded systems
- hardware design
- parallel computing
- image processing algorithms
- back propagation
- pattern recognition
- confidence level
- signal processing
- maximum likelihood
- bayesian networks
- gaussian processes
- computing systems
- artificial neural networks
- hardware architectures
- neural nets
- confidence values
- low cost
- high confidence
- fuzzy neural network
- genetic algorithm
- confidence measure
- bayesian estimation
- bp neural network
- hardware and software
- real time
- computer systems
- general purpose
- associative memory
- neural network is trained
- hardware software
- fuzzy artmap
- learning vector quantization
- personal computer
- recurrent neural networks
- self organizing maps
- massively parallel
- parallel architectures
- bayesian inference
- efficient implementation
- bayesian learning