Probabilistic physics-informed machine learning for dynamic systems.
Abhinav SubramanianSankaran MahadevanPublished in: Reliab. Eng. Syst. Saf. (2023)
Keyphrases
- dynamic systems
- machine learning
- qualitative reasoning
- computer science
- complex systems
- discrete event
- dynamical systems
- consistency based diagnosis
- artificial intelligence
- machine learning algorithms
- machine learning methods
- state variables
- ordinary differential equations
- particle filter
- qualitative models
- uncertain data
- probabilistic model
- linear time invariant
- information extraction
- bayesian networks
- decision trees
- data mining
- generative model
- text mining
- knowledge representation
- conditional probabilities
- state estimation