Synaptic 1/f noise injection for overfitting suppression in hardware neural networks.
Yan DuWei ShaoZheng ChaiHanzhang ZhaoQihui DiaoYawei GaoXihui YuanQiaoqiao WangTao LiWeidong ZhangJian Fu ZhangTai MinPublished in: Neuromorph. Comput. Eng. (2022)
Keyphrases
- neural network
- feed forward
- learning rules
- hardware and software
- back propagation
- pattern recognition
- real time
- random noise
- noise level
- artificial neural networks
- low cost
- missing data
- noise model
- computing systems
- fuzzy logic
- decision trees
- fault diagnosis
- signal to noise ratio
- hebbian learning
- multilayer perceptron
- spiking neural networks
- vlsi implementation
- fuzzy systems
- personal computer
- cross validation
- computer systems
- edge detection
- hardware implementation
- generalization error
- learning algorithm
- training process
- network architecture
- mr images
- sufficient conditions
- input data
- support vector
- spiking neurons
- neuron model