Changqing Feng

Integrating Physical Information Constraints for Magnetotelluric Data-Driven Inversion

Deep learning (DL) techniques have been tentatively explored for geophysical inversion, but most inversion networks currently rely on a purely data-driven mode, where the training process is highly dependent on the data sets and lacks physical information constraints. In this article, we propose a physically constraine...