Structured Neural Chaos: An Adaptive Surrogate Modeling Framework for Functional Uncertainty Quantification and Global Sensitivity Analysis
The Structured Neural Chaos (sNC) expansion is introduced as a surrogate modeling framework for variance-based GSA, inspired by the interpretability and orthogonal structure of PCE, and retains the interpretability of structured decompositions while leveraging the expressive power of neural networks.