Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference.
Nihar SawantBoris KramerBenjamin PeherstorferPublished in: CoRR (2021)
Keyphrases
- accurate models
- prior knowledge
- learned models
- hidden variables
- learning models
- data sets
- learning algorithm
- supervised learning
- data collection
- historical data
- training data
- experimental data
- active learning
- data structure
- complex structures
- previously learned
- background knowledge
- database
- knowledge discovery
- data sources
- network structure
- probability distribution
- learning process
- bayesian methods
- parameter learning
- structured prediction
- data analysis
- reinforcement learning
- relational models
- data mining
- bayesian models
- qualitative physics