Evaluation of impacting signals and neural networks for objects detection

Abstract

This paper presents a study that evaluates different neural networks configurations and different impact sources, for detecting materials using impacts as the source of information. This work deals as well with objects that have similar responses when impacted, as is the case of pieces made from steel and aluminum.