Performance Analysis of Graph Neural Network (GNN) for Manufacturing Feature Recognition Problem.
Igor BetkierMateusz OszczypalaJanusz PobozniakSergiusz SobieskiPublished in: HPEC (2023)
Keyphrases
- neural network
- preprocessing stage
- pattern recognition
- recognition rate
- object recognition
- recognition accuracy
- graph model
- directed graph
- artificial neural networks
- image features
- feature vectors
- graph representation
- feature maps
- graph structure
- recognition algorithm
- graph matching
- discrimination power
- radial basis function
- feature extraction
- action recognition
- vector representation
- feature fusion
- back propagation
- weighted graph
- directed acyclic graph
- graph partitioning
- random walk
- automatic recognition
- fuzzy logic
- improve the recognition accuracy
- graph grammars
- neural network is trained
- recognition process
- gait recognition
- graph mining
- neural nets
- bp neural network
- structured data
- feature space
- computer vision
- genetic algorithm