Improving neural network estimation in presence of non i.i.d. noise.
Shahram HosseiniChristian JuttenPublished in: ESANN (1998)
Keyphrases
- neural network
- train a neural network
- estimation error
- data sets
- pattern recognition
- signal subspace
- missing data
- additive noise
- noise reduction
- signal to noise ratio
- noise level
- noise model
- image noise
- accurate estimation
- neural nets
- random noise
- general regression neural networks
- neural network model
- back propagation
- artificial neural networks
- parameter estimation
- maximum likelihood
- genetic algorithm
- image structure
- multiscale
- fuzzy logic
- color images
- estimation accuracy
- noisy environments
- robust estimation
- learning vector quantization
- neural network is trained
- expert systems
- training process
- radial basis function