Si-Di Wu

Error Analysis for Solving Elliptic Interface Problems with Randomized Neural Networks

This paper presents a unified error analysis of randomized neural networks (RaNNs) for elliptic interface problems. We first derive an integral representation of Barron functions using the standard $\tanh$ activation, which yields a $C^2$-approximation bound valid for any hidden-parameter distribution supported on a cu...