“Radial-function-based regression method for modeling and forecasting chaotic behavior from high-dimensional deterministic systems’ time series data”

https://pubmed.ncbi.nlm.nih.gov/38115529

The abstract describes a study that uses a radial-function-based regression method to construct low-dimensional ordinary differential equations from chaotic time series data of high- or infinite-dimensional deterministic systems, and demonstrates its effectiveness in modeling and forecasting chaotic behavior even in the presence of noise.