Feed-forward Uncertainty Propagation in Belief and Neural Networks.
Alexander ShekhovtsovBoris FlachMichal BustaPublished in: CoRR (2018)
Keyphrases
- feed forward
- neural network
- back propagation
- belief functions
- artificial neural networks
- neural nets
- recurrent neural networks
- expected utility
- dempster shafer
- error back propagation
- activation function
- hidden layer
- probability theory
- neuron model
- recurrent networks
- learning algorithm
- biologically plausible
- uncertain data
- belief revision
- probability measures
- visual cortex
- neural network model
- artificial neural
- fuzzy logic
- neural architecture
- pattern recognition
- feed forward neural networks
- conditional probabilities
- decision theory
- training algorithm
- fuzzy systems
- multi layer
- real time