Machine learning prediction of BLEVE loading with graph neural networks.
Qilin LiYang WangWensu ChenLing LiHong HaoPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- neural network
- machine learning
- recursive neural networks
- pattern recognition
- prediction model
- artificial neural networks to predict
- prediction accuracy
- graph theory
- neural networks and support vector machines
- graph representation
- information extraction
- machine learning methods
- neural network ensemble
- genetic algorithm
- data mining
- fuzzy logic
- graph model
- multi layer
- structured data
- knowledge representation
- artificial intelligence
- multi layer perceptron
- reinforcement learning
- self organizing maps
- data analysis
- machine learning algorithms
- fault diagnosis
- active learning
- protein function prediction
- predictive modeling
- graph theoretic
- predictive model
- computer vision
- explanation based learning
- undirected graph
- computational biology
- random walk
- back propagation
- multilayer perceptron
- weighted graph
- feed forward
- artificial neural networks
- natural language processing
- chaotic time series
- social networks
- computer science
- connected components
- directed graph
- text mining
- neural nets
- bipartite graph
- decision trees
- knowledge acquisition
- graph mining
- directed acyclic graph