Training neural networks with noisy data as an ill-posed problem.
Martin BurgerHeinz W. EnglPublished in: Adv. Comput. Math. (2000)
Keyphrases
- feed forward
- noisy data
- neural network
- feed forward neural networks
- back propagation
- training algorithm
- artificial neural networks
- backpropagation algorithm
- feedforward neural networks
- recurrent neural networks
- training process
- multi layer perceptron
- noise tolerant
- intrinsic dimensionality
- high dimensional
- noise free
- high dimensionality
- learning from noisy data
- missing data
- super resolution
- pattern recognition
- image restoration
- input data
- training set
- neural network model
- training examples
- dimensionality reduction
- training data
- image processing
- data mining