Bayesian graph neural networks for strain-based crack localization.
Charilaos MylonasGeorge TsialiamanisKeith WordenEleni N. ChatziPublished in: CoRR (2020)
Keyphrases
- neural network
- graph structure
- pattern recognition
- multi layer
- bayesian networks
- fuzzy logic
- bayesian learning
- random walk
- back propagation
- bayesian estimation
- neural network model
- graph representation
- maximum likelihood
- directed graph
- connected components
- graph theoretic
- recurrent neural networks
- self organizing maps
- graph based algorithm
- structured data
- data driven
- posterior distribution
- directed acyclic graph
- graph model
- gaussian processes
- quasi static
- object localization
- localization method
- graph theory
- undirected graph
- spanning tree
- bayesian inference
- bipartite graph
- graph matching
- fault diagnosis
- genetic algorithm