Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics.
Davide RoznowiczGiovanni StabileNicola DemoDavide FransosGianluigi RozzaPublished in: Adv. Model. Simul. Eng. Sci. (2024)
Keyphrases
- machine learning
- prediction accuracy
- prediction model
- real world
- machine learning algorithms
- predictive modeling
- graph theory
- small scale
- machine learning methods
- graph representation
- explanation based learning
- directed graph
- random walk
- text mining
- real life
- bipartite graph
- graph based algorithm
- data mining
- prediction algorithm
- graph theoretic
- learning algorithm
- prediction error
- computational intelligence
- semi supervised learning
- supervised learning
- data sets
- inductive logic programming
- graph model
- model selection
- natural language processing
- predictive model
- learning systems
- decision trees
- spanning tree
- directed acyclic graph
- computer science
- kernel methods
- information extraction
- knn
- inductive learning
- graph matching