When Response Variability Increases Neural Network Robustness to Synaptic Noise.
Gleb BasalygaEmilio SalinasPublished in: Neural Comput. (2006)
Keyphrases
- neural network
- feed forward
- learning rules
- greater robustness
- neuron model
- artificial neural networks
- noise level
- back propagation
- random noise
- signal to noise ratio
- genetic algorithm
- hebbian learning
- noise model
- neural nets
- general regression neural networks
- additive noise
- fuzzy logic
- bp neural network
- train a neural network
- pattern recognition
- single neuron
- spiking neurons
- intra class
- measurement error
- fault diagnosis
- learning algorithm
- input data
- missing data
- recurrent neural networks
- self organizing maps
- neural network model
- median filter
- multi layer
- noise reduction
- multilayer perceptron
- associative memory