Towards Effective Training of Robust Spiking Recurrent Neural Networks Under General Input Noise via Provable Analysis.
Wendong ZhengYu ZhouGang ChenZonghua GuKai HuangPublished in: ICCAD (2023)
Keyphrases
- recurrent neural networks
- feed forward
- recurrent networks
- echo state networks
- input data
- computationally efficient
- feedforward neural networks
- artificial intelligence
- special case
- noise reduction
- reservoir computing
- neural network
- hebbian learning
- complex valued
- training process
- signal to noise ratio
- artificial neural networks
- training set
- genetic algorithm