Time-series machine-learning error models for approximate solutions to parameterized dynamical systems.
Eric J. ParishKevin T. CarlbergPublished in: CoRR (2019)
Keyphrases
- dynamical systems
- machine learning
- approximate solutions
- dynamical models
- phase space
- differential equations
- dynamical behavior
- nonlinear dynamical systems
- linear dynamical systems
- complex systems
- model selection
- dynamic systems
- autoregressive
- probabilistic model
- search space
- latent variable models
- ordinary differential equations
- qualitative simulation
- pairwise
- computer vision
- predictive state representations
- data mining