Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects.
Aneesh BalakrishnanThomas LangeMaximilien GlorieuxDan AlexandrescuMaksim JenihhinPublished in: CoRR (2021)
Keyphrases
- graph theory
- neural network
- graph theoretical
- computer vision and pattern recognition
- graph theoretic
- complex networks
- automata theory
- social network analysis
- graph based representations
- pattern recognition
- error rate
- fuzzy logic
- document similarity
- artificial neural networks
- minimum spanning tree
- combinatorial optimization
- maximum independent set
- graph representations
- neural network model
- activation function
- back propagation
- object recognition
- genetic algorithm