Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators.
Zhe BaiLiqian PengPublished in: CoRR (2021)
Keyphrases
- nonlinear models
- low dimensional
- machine learning
- high dimensional
- linear model
- linear models
- dimensionality reduction
- data points
- high dimensional data
- control law
- principal component analysis
- pattern recognition
- learning algorithm
- data mining
- feature selection
- computer vision
- closed form
- feature space
- decision trees
- least squares
- state space
- dimension reduction