Classification of Functional Types of Lines in P&IDs Using a Graph Neural Network.
Gwangsik KimByungchul KimPublished in: IEEE Access (2023)
Keyphrases
- neural network
- learning vector quantization
- pattern recognition
- classification method
- automatic classification
- pattern classification
- graph theory
- feature extraction
- training patterns
- classification scheme
- machine learning
- image classification
- text classification
- fuzzy logic
- unsupervised learning
- classification accuracy
- training process
- support vector
- classification rules
- straight line
- nearest neighbour
- multi layer perceptron
- graph structure
- preprocessing stage
- bipartite graph
- structured data
- classification models
- directed graph
- intrusion detection system
- back propagation
- intrusion detection
- anomaly detection
- model selection
- feature set
- supervised learning
- feature vectors
- training set
- data mining