Algebraic multiscale grid coarsening using unsupervised machine learning for subsurface flow simulation.
Kishan Ramesh KumarMatei TenePublished in: J. Comput. Phys. (2024)
Keyphrases
- machine learning
- multiscale
- unsupervised learning
- navier stokes equations
- supervised classification
- scale space
- supervised learning
- image processing
- pattern recognition
- inductive learning
- information extraction
- data analysis
- computational intelligence
- data driven
- artificial intelligence
- grid computing
- machine learning methods
- learning systems
- semi supervised learning
- image representation
- knowledge acquisition
- simulation environment
- fluid flow
- control system
- flow patterns
- machine learning approaches
- learning algorithm
- superpixels
- coarse to fine
- inductive logic programming
- learning tasks
- mathematical model
- natural language processing
- knowledge representation
- active learning
- reinforcement learning