Understanding and mitigating noise in trained deep neural networks.
Nadezhda SemenovaLaurent LargerDaniel BrunnerPublished in: Neural Networks (2022)
Keyphrases
- neural network
- multilayer perceptron
- training process
- multi layer perceptron
- pattern recognition
- trained neural networks
- noise level
- trained neural network
- signal to noise ratio
- genetic algorithm
- auto associative
- noise reduction
- noisy data
- training set
- feed forward
- neural nets
- back propagation
- additive noise
- noise model
- random noise
- artificial neural networks
- backpropagation algorithm
- neural network model
- radial basis function
- fuzzy logic
- hidden markov models
- support vector