Structurally corrected invariant-preserving neural networks for conservative dynamical systems: a statistically validated approach
Abstract
Enhanced statistical validation framework Improved theoretical analysis Refined manuscript for nonlinear dynamics audience Updated for Chaos, Solitons & Fractals submission
Fields of Study & Subjects
Model Reduction and Neural Networks
Numerical methods for differential equations
Neural Networks and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026