Normalization of Neural Networks using Analytic Variance Propagation.
Alexander ShekhovtsovBoris FlachPublished in: CoRR (2018)
Keyphrases
- neural network
- pattern recognition
- fuzzy logic
- preprocessing
- artificial neural networks
- back propagation
- neural network model
- neural nets
- fault diagnosis
- real world
- image processing
- variance reduction
- competitive learning
- feedforward neural networks
- standard deviation
- recurrent neural networks
- real time
- genetic algorithm
- correlation coefficient
- feed forward
- training process
- activation function
- learning rules
- self organizing maps
- feature extraction
- minimum variance