L. Wani

Ensemble Extreme Learning Machines for Uncertainty Quantification in Ordinary Differential Equations

This paper proposes an uncertainty-quantified surrogate framework for ordinary differential equations (ODEs) based on ensembles of extreme learning machines (ELMs). The method constructs M=100 independently randomized ELM surrogates for a given ODE trajectory, uses the ensemble mean as the predictor, and defines a poin...