Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields.
Michael BeerOlga KoshelevaVladik KreinovichPublished in: SSCI (2021)
Keyphrases
- neural network
- global exponential stability
- interval type fuzzy
- artificial neural networks
- interval type fuzzy sets
- interval valued
- artificial intelligence
- computer vision
- genetic algorithm
- pattern recognition
- back propagation
- uncertain data
- machine learning
- inherent uncertainty
- decomposition method
- belief functions
- multi layer
- multilayer perceptron
- fuzzy logic
- fuzzy sets
- neural nets
- image decomposition
- fuzzy linear programming
- computer science
- kullback leibler distance
- fault diagnosis
- kullback leibler
- incomplete information
- decomposition methods
- decomposition algorithm
- hopfield neural network
- neural network model
- decision theory
- fuzzy neural network
- recurrent neural networks