HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks.
Su ZhengZhen LiYao LuJingbo GaoJide ZhangLingli WangPublished in: CoRR (2022)
Keyphrases
- high efficiency
- neural network
- high accuracy
- real and synthetic datasets
- pattern recognition
- memory space
- global optimization
- highly non linear
- result quality
- optimization method
- feed forward
- density based clustering
- artificial neural networks
- recurrent neural networks
- optimization methods
- constrained optimization
- back propagation
- radial basis function
- multi layer
- fuzzy systems
- fault diagnosis
- deep learning
- optimization algorithm
- fuzzy logic
- reinforcement learning