Using additive noise in back-propagation training.
Lasse HolmströmPetri KoistinenPublished in: IEEE Trans. Neural Networks (1992)
Keyphrases
- back propagation
- additive noise
- training algorithm
- feed forward neural networks
- feedforward neural networks
- feed forward
- artificial neural networks
- neural network
- multilayer perceptron neural network
- noisy images
- error back propagation
- spatial domain
- maximum likelihood
- bp neural network
- hidden layer
- multilayer neural network
- multilayer perceptron
- bp algorithm
- activation function
- fuzzy logic
- training process
- bp network
- learning algorithm
- multi layer
- random variables
- speech signal
- multi layer perceptron
- error function
- basis functions
- object recognition
- genetic algorithm