Acoustic scattering and its inverse: deep learning based methods
Abstract
In this talk, I will present our latest progress on both forward and inverse acoustic scattering problems. For scattering in unbounded domains, we have introduced a novel alternating-optimized SNN approach that achieves both high computational efficiency and strong accuracy. Furthermore, we have developed a new machine learning framework that can tackle multi-body scattering problems without any prior knowledge of the number of scatterers.