Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines.
Michael WeissPaolo TonellaPublished in: Softw. Test. Verification Reliab. (2023)
Keyphrases
- information systems
- neural network
- pattern recognition
- fuzzy logic
- back propagation
- uncertain data
- inherent uncertainty
- artificial neural networks
- rule extraction
- genetic algorithm
- training algorithm
- neural nets
- recurrent neural networks
- feed forward
- neural network model
- fault diagnosis
- design principles
- sufficient conditions
- training data
- quantitative evaluation
- multi layer perceptron
- case study
- feedforward neural networks
- knowledge base