Inherent Weight Normalization in Stochastic Neural Networks.
Georgios DetorakisSourav DuttaAbhishek KhannaMatthew JerrySuman DattaEmre NeftciPublished in: CoRR (2019)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- back propagation
- stochastic optimization
- hopfield neural network
- preprocessing
- weight function
- neural network model
- weight update
- weighting scheme
- fuzzy logic
- genetic algorithm
- multi layer
- weight assignment
- learning automata
- competitive learning
- fuzzy neural network
- network architecture
- neural nets
- feed forward
- activation function
- learning rules
- stochastic model
- stochastic processes
- radial basis function
- monte carlo
- stochastic nature
- total weight
- machine learning
- data sets