Bayesian Neural Networks Uncertainty Quantification with Cubature Rules.
Peng WangNidhal C. BouaynayaLyudmila MihaylovaJikai WangQibin ZhangRenke HePublished in: IJCNN (2020)
Keyphrases
- neural network
- rule extraction
- pattern recognition
- decision theory
- uncertain information
- symbolic knowledge
- rule sets
- bayesian networks
- data driven
- trained neural networks
- learning classifier systems
- classification rules
- feed forward
- dempster shafer
- learning rules
- training process
- uncertain data
- neural network model
- fuzzy logic
- association rules
- artificial intelligence
- multilayer perceptron
- fuzzy rules
- bayesian inference
- posterior distribution
- decision rules
- production rules
- self organizing maps
- fault diagnosis
- back propagation
- rough sets
- artificial neural networks