The use of a neural controller in masonry tomography

Abstract

This article presents the original method of tomographic investigation of rising damp in walls made of ceramic (clay) bricks based on artificial neural networks. A model consisting of multiple neural networks was developed in such a way that a single network generates a single pixel image. The results of simulation experiments confirmed the high efficiency of the presented method.