This repository contains the codes for framework for equation discovery by combining Neural Networks with Characteristic Curves (NN-CC), Symmetry Constraints, and Post-Symbolic Regression (Post-SR). It also incorporates implementations of SINDy and pySR within the CC-based formalism.
symbolic-regression sparse-regression interpretable-neural-networks symmetries equation-discovery data-driven-modeling nonlinear-system-identification identifiability-issues uniqueness-of-the-representation adding-domain-knowledge
- Updated
- Python