Uncertainty Quantification in Deep Residual Neural Networks.
Lukasz WandzikRaul Vicente-GarciaJörg KrügerPublished in: CoRR (2020)
Keyphrases
- neural network
- fuzzy logic
- pattern recognition
- artificial neural networks
- back propagation
- artificial intelligence
- recurrent neural networks
- feed forward
- inherent uncertainty
- belief functions
- conditional probabilities
- neural network model
- case study
- control system
- training data
- fault diagnosis
- incomplete information
- decision trees
- image processing
- social networks
- neural nets
- multi layer
- training algorithm
- quantitative evaluation
- genetic algorithm
- machine learning