Robustness Enhancement in Neural Networks with Alpha-Stable Training Noise.
Xueqiong YuanJipeng LiErcan Engin KuruogluPublished in: CoRR (2023)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- multi layer perceptron
- backpropagation algorithm
- greater robustness
- train a neural network
- artificial neural networks
- back propagation
- pattern recognition
- multilayer perceptron
- noise level
- feed forward neural networks
- recurrent networks
- image processing
- error back propagation
- neural network training
- training samples
- training patterns
- multi layer
- training and testing data
- fault diagnosis
- random noise
- salt pepper
- genetic algorithm
- noise model
- additive noise
- fuzzy logic
- noise reduction
- feed forward
- noisy data
- image enhancement
- test set
- support vector machine
- gaussian noise
- training phase
- data sets
- trained neural network
- signal to noise ratio
- noise immunity
- supervised learning