Assessment of the robustness of a neural network approach for the electromagnetic reconstruction of buried cylinders

The present paper is intended to give some insights into the application of a neural network approach to reconstruct buried cylinders by exploiting time-domain electromagnetic data acquired when the source is moving above the half-space. The robustness of the approach has been tested against variations in the a-priori information used to build the reconstruction algorithm in order to detect its limits of applicability.